Jun Han

6.3k total citations · 2 hit papers
275 papers, 4.3k citations indexed

About

Jun Han is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Han has authored 275 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 54 papers in Artificial Intelligence and 46 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Han's work include Cryptographic Implementations and Security (31 papers), Hepatocellular Carcinoma Treatment and Prognosis (30 papers) and Cryptography and Residue Arithmetic (21 papers). Jun Han is often cited by papers focused on Cryptographic Implementations and Security (31 papers), Hepatocellular Carcinoma Treatment and Prognosis (30 papers) and Cryptography and Residue Arithmetic (21 papers). Jun Han collaborates with scholars based in China, Hong Kong and United States. Jun Han's co-authors include Tian Yang, Guohao Wu, Xiaoyang Zeng, Zhenli Li, Qingyang Meng, Lei Shen, Qiulei Xi, Mengchao Wu, Yu Chen and Han Lin and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Jun Han

244 papers receiving 4.2k citations

Hit Papers

Risk Factors, Patterns, and Outcomes of Late Recurrence A... 2018 2026 2020 2023 2018 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Han China 34 1.2k 776 686 606 585 275 4.3k
Chen Shao China 33 1.3k 1.1× 151 0.2× 632 0.9× 207 0.3× 672 1.1× 152 4.0k
Xinhe Wang China 22 1.1k 1.0× 328 0.4× 143 0.2× 225 0.4× 186 0.3× 111 3.0k
Xian Jiang China 43 2.3k 1.9× 273 0.4× 1.2k 1.7× 616 1.0× 332 0.6× 278 6.4k
Takafumi Yoshida Japan 35 1.1k 0.9× 710 0.9× 394 0.6× 898 1.5× 69 0.1× 130 5.1k
Nan Ji China 29 715 0.6× 178 0.2× 297 0.4× 371 0.6× 319 0.5× 193 2.7k
Feng‐Sheng Wang Taiwan 55 3.3k 2.8× 190 0.2× 958 1.4× 937 1.5× 774 1.3× 278 9.2k
Mingyu Chen China 32 885 0.7× 221 0.3× 401 0.6× 142 0.2× 495 0.8× 177 3.5k
Lu Xie China 40 4.0k 3.4× 136 0.2× 1.0k 1.5× 326 0.5× 149 0.3× 223 6.3k
Guang Jin China 38 1.5k 1.2× 79 0.1× 410 0.6× 393 0.6× 233 0.4× 274 4.5k
Piet C. de Groen United States 36 1.3k 1.1× 885 1.1× 336 0.5× 663 1.1× 557 1.0× 128 6.9k

Countries citing papers authored by Jun Han

Since Specialization
Citations

This map shows the geographic impact of Jun Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Han more than expected).

Fields of papers citing papers by Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Han. The network helps show where Jun Han may publish in the future.

Co-authorship network of co-authors of Jun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Han. A scholar is included among the top collaborators of Jun Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Han. Jun Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Chen, Zhiyuan, et al.. (2025). An Energy Harvesting Interface Based on Reconfigurable Piezoelectric Harvester Array. IEEE Transactions on Power Electronics. 40(10). 15949–15958.
3.
Han, Jun, et al.. (2024). A high-throughput and low-storage stereo vision accelerator with dependency-resolving strided aggregation for 8-path semi-global matching. Microelectronics Journal. 146. 106156–106156. 1 indexed citations
4.
Li, Xiteng, Wenbo Peng, Zhitong Li, et al.. (2024). UV/Ozone‐Induced Interface Engineering for High‐Performance Horizontal Organic Light‐Emitting Transistors Operating at Low Voltage. Small. 21(5). e2407019–e2407019. 2 indexed citations
5.
Mao, Yukang, et al.. (2024). Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018. BMC Public Health. 24(1). 50–50. 58 indexed citations breakdown →
6.
Huang, Xiaoli, Deyang Chen, Jiawei Wang, et al.. (2024). A 28-nm 36 Kb SRAM CIM Engine With 0.173 μm2 4T1T Cell and Self-Load-0 Weight Update for AI Inference and Training Applications. IEEE Journal of Solid-State Circuits. 59(10). 3277–3289. 3 indexed citations
7.
Han, Jun, et al.. (2024). A Design Framework for Generating Energy-Efficient Accelerator on FPGA Toward Low-Level Vision. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(8). 1485–1497. 4 indexed citations
8.
Chen, Zhiyuan, Man‐Kay Law, Sijun Du, et al.. (2023). A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter. Research Repository (Delft University of Technology). 1–2. 2 indexed citations
9.
Law, Man‐Kay, Sijun Du, Junrui Liang, et al.. (2023). Piezoelectric Energy Harvesting Interface Using Self-Bias-Flip Rectifier and Switched-PEH DC–DC for MPPT. IEEE Journal of Solid-State Circuits. 59(7). 2248–2259. 11 indexed citations
10.
Zhang, Yongliang, Zhen Yang, Qiang Li, et al.. (2023). An Energy-Efficient BNN Accelerator With Two-Stage Value Prediction for Sparse-Edge Gesture Recognition. IEEE Transactions on Circuits and Systems I Regular Papers. 71(1). 320–333. 2 indexed citations
11.
Han, Jun, et al.. (2021). MC-LSTM: Real-Time 3D Human Action Detection System for Intelligent Healthcare Applications. IEEE Transactions on Biomedical Circuits and Systems. 15(2). 259–269. 27 indexed citations
12.
Zhou, Keji, Deyang Chen, Yujie Huang, et al.. (2021). An Energy Efficient Computing-in-Memory Accelerator With 1T2R Cell and Fully Analog Processing for Edge AI Applications. IEEE Transactions on Circuits & Systems II Express Briefs. 68(8). 2932–2936. 16 indexed citations
13.
Zhang, Bingyi, et al.. (2019). A Real-Time and Hardware-Efficient Processor for Skeleton-Based Action Recognition With Lightweight Convolutional Neural Network. IEEE Transactions on Circuits & Systems II Express Briefs. 66(12). 2052–2056. 18 indexed citations
14.
Han, Jun, Qingyang Meng, Xiao Liu, et al.. (2014). Lack of Effects of HER-2/neu on Prognosis in Colorectal Cancer: a Meta-analysis. Asian Pacific Journal of Cancer Prevention. 15(14). 5551–5556. 5 indexed citations
15.
Han, Jun, et al.. (2011). Improvement of adenoviral vector-mediated gene transfer to airway epithelia by folate-modified anionic liposomes. Dove Medical Press (Taylor and Francis Group). 3 indexed citations
16.
Han, Jun. (2011). Portable human-machine interface system based on STM32. Electronic Design Engineering. 2 indexed citations
17.
Han, Jun, et al.. (2009). A multi-task-oriented security processing architecture with powerful extensibility. Asia and South Pacific Design Automation Conference. 133–134. 3 indexed citations
18.
Lu, Ronghua, et al.. (2008). A low-cost cryptographic processor for security embedded system. Asia and South Pacific Design Automation Conference. 113–114. 6 indexed citations
19.
Han, Jun. (2007). VLSI Implementation of Low Cost AES Algorithm. Jisuanji gongcheng. 1 indexed citations
20.
Han, Jun, et al.. (1982). UNDERTHRUST OR OVERTHRUST. 科学通报(英文版).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026