Dr. Jinjin Hu | Digital economy | Best Researcher Award.

Harbin Institute of Technology (Shenzhen),China

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Jinjin Hu is a Ph.D. candidate in Strategy & Entrepreneurship at Harbin Institute of Technology, Shenzhen, China, with research interests in digital transformation, corporate networks, and innovative performance. He holds a Master’s degree in Finance and a Bachelor’s degree in Accounting. Jinjin has published in renowned journals and received honors such as the National Scholarship. He actively contributes to research projects and serves as a reviewer for academic journals.

🎓 Education:

Dr. Jinjin Hu holds a Ph.D. in Strategy & Entrepreneurship from the School of Economics and Management at Harbin Institute of Technology, Shenzhen, China, where he is currently pursuing his doctoral studies. He also earned a Master of Arts in Finance from the same institution and holds a Bachelor of Science in Accounting from Huazhong Agricultural University, Wuhan, China.

🔍 Research Focus:

His research interests encompass a broad spectrum within the realms of knowledge and innovation, corporate strategy, international strategy, patents & intellectual property rights, digital transformation, and entrepreneurship. Dr. Hu’s work delves into understanding the impact of digital technologies on corporate innovation, the dynamics of corporate networks, and the strategic implications of technological advancements.

🏆 Honors & Awards:

Dr. Jinjin Hu has received prestigious accolades for his academic achievements, including the National Scholarship in 2021, the First Prize in the National “Chinese Accounting Network School Cup” Competition in 2019, and the Third Prize in the National “Innovation and Entrepreneurship Challenge Cup” in 2018.

Professional Experience: 💼

He has contributed significantly to various research projects funded by esteemed organizations such as the National Natural Science Foundation and the National Social Science Fund. Dr. Hu also serves as a reviewer for reputable journals in his field and has hosted sub-forums at academic conferences.

📚 Top Noted Publications :

Title: Digital Economy Development and Venture Capital Networks: Empirical Evidence from China
Author: Jinjin Hu, Dong Huo, Delin Wu
Journal: Technological Forecasting and Social Change
Citation: 2024, Volume 203, Article 123338
Index: ABS3*, SSCI Q1
Year of Publish: 2024

Title: A Study on the Privatization Decisions of China Concepts Stock Based on the Tax Shield Effect
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Journal of Systems Science and Systems Engineering
Citation: 2023, Volume 32(5), Pages 623–640
Index: SSCI Q3
Year of Publish: 2023

Title: Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanism—Case Study of Patent Applications
Author: Xue Zhao, Delin Wu, Wei Wu, Jinjin Hu, Yibo Lian, Jianwei Shan
Journal: Data Analysis and Knowledge Discovery
Citation: 2023, Volume 7(8), Pages 30–45
Index: CSSCI Q2
Year of Publish: 2023

Title: Digital Economy and Environmental Governance Performance: Empirical Evidence from 275 Cities in China
Author: Jinjin Hu, Xue Zhao, Delin Wu, Wei Wu
Journal: Environmental Science and Pollution Research
Citation: 2023, Volume 30(10), Pages 26012–26031
Index: SSCI Q1
Year of Publish: 2023

Title: Implementation of Industrial Enterprises’ Green Innovation Strategy under Technology Spillover
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Technology Analysis and Strategic Management
Citation: 2023
Index: ABS2*, SSCI Q3
Year of Publish: 2023

Author Metrics 📊 :

His scholarly output is characterized by high-quality publications and active engagement in the academic community as evidenced by his reviewer role for journals. Dr. Hu’s publications have garnered attention within the academic community, contributing to the advancement of knowledge in his field.

📅 Research Timeline:

Throughout his academic journey, Dr. Jinjin Hu has consistently demonstrated a dedication to research excellence and scholarly inquiry. From his undergraduate studies in Accounting to his current doctoral research in Strategy & Entrepreneurship, he has maintained a steadfast commitment to expanding the frontiers of knowledge in his areas of expertise

👨‍🎓 Bio Summary:

Sultan Daud Khan is an accomplished researcher and academic, currently serving as the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024. He is also an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad, Pakistan, a position he has held since October 2019.

🎓 Education:

Dr. Khan’s academic journey includes a Ph.D. in Computer Science from the University of Milano-Bicocca in Italy (2013–2016). He earned his MSc in Electronics and Communication Engineering from Hanyang University in South Korea (2008–2008) and completed his BSc in Computer System Engineering from the University of Engineering and Technology in Peshawar, Pakistan (2001–2005).

🔍 Research Focus:

Dr. Khan’s research interests are diverse and include artificial intelligence, image processing, video watermarking, EEG/brain signal analysis, human action recognition, computer vision algorithms on FPGAs, and embedded systems design. His work aims to advance knowledge and practical applications in these areas, contributing significantly to the field.

🏆 Honors & Awards:

In 2023, Dr. Khan was recognized as one of the world’s top 2% of scientists in the field of Artificial Intelligence according to Stanford University’s ranking index. This prestigious recognition underscores his significant contributions and impact in his field of expertise.

Professional Experience: 💼

Dr. Khan has held several key positions throughout his career. He is the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024 and has been an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad since October 2019. His roles have involved significant academic leadership and research responsibilities.

📚 Top Noted Publications :

Detecting Drones Using Deep Convolutional Neural Networks

Authors: M. Saqib, S.D. Khan, N. Sharma, M. Blumenstein
Conference: 2017 14th IEEE International Conference on Advanced Video and Signal Based
Year: 2017
Citations: 206

A Survey of Advances in Vision-Based Vehicle Re-Identification

Authors: S.D. Khan, H. Ullah
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 161

Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble

Authors: H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S.D. Khan, F.A. Cheikh
Journal: IEEE Access
Year: 2019
Citations: 125

Stacked LSTM Network for Human Activity Recognition Using Smartphone Data

Authors: M. Ullah, H. Ullah, S.D. Khan, F.A. Cheikh
Conference: 2019 8th European Workshop on Visual Information Processing (EUVIP)
Year: 2019
Citations: 117

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Authors: S. Basalamah, S.D. Khan, H. Ullah
Journal: IEEE Access
Year: 2019
Citations: 69

Analyzing Crowd Behavior in Naturalistic Conditions: Identifying Sources and Sinks and Characterizing Main Flows

Authors: S.D. Khan, S. Bandini, S. Basalamah, G. Vizzari
Journal: Neurocomputing
Year: 2016
Citations: 67

Author Metrics 📊 :

Dr. Khan’s author metrics highlight his research impact, with numerous citations and high h-index scores that demonstrate his influence and recognition in the scientific community. His contributions have been acknowledged globally, enhancing his reputation as a leading researcher in his fields of interest.

📅 Research Timeline:

Dr. Khan’s research timeline showcases his continuous and progressive contributions to various domains of computer science and engineering. From his early work in embedded systems to his current focus on artificial intelligence and brain signal analysis, his research has evolved and expanded, reflecting his dedication to advancing technology and knowledge.