Jun Han

242 papers receiving 4.4k citations

Jun Han's Hit Papers

A RISC-V 32-bit microprocessor based on two-dimensional semiconductors 2025 · 38 citations
380+2+5Years since publication100200300

Peers

Jun Han
Comparison fields: 5 of 173
  • Hepatology 694
  • Cancer Research 508
  • Hardware and Architecture 211
  • Molecular Biology 1.0k
  • Physiology 349
Replace Guang Jin with:
Guang Jin China
Xiaoming Jin China
Xiaowen Feng China
Wei‐Chung Cheng Taiwan
David Salomon United States
Rengül Çetin-Atalay Türkiye
Steven Swanson United States
Takeshi Fukuda Japan
Jiyeon Kim South Korea
Wanting Yang China
Jun Han relative to Guang Jin China Guang Jin's profile →
Citations per field
00.5×10×12.9×
Guang Jin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Han Line = papers co-authored together Jun Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk Factors, Patterns, and Outcomes of Late Recurrence After Liver Resection for Hepatocellular Carcinoma
Hit paper breakdown →
2018377
2 2018235
3 2019207
4 2018155
5 2018153
6 2014139
7 202091
8 201289
9 201585
10 202084
11 201873
12 201669
13 201567
14
Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018
Hit paper breakdown →
202466
15 200663
16 201762
17 201959
18 201959
19 201458
20 201755

About Jun Han

Jun Han is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture and Biomedical Engineering, having authored 275 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (31 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers), Chaos-based Image/Signal Encryption (21 papers), Cryptography and Residue Arithmetic (21 papers), Analog and Mixed-Signal Circuit Design (20 papers), Coding theory and cryptography (19 papers), Low-power high-performance VLSI design (19 papers) and Parallel Computing and Optimization Techniques (16 papers). The work is most often cited by research in Hepatology (694 citations), Cancer Research (508 citations), Hardware and Architecture (211 citations), Molecular Biology (1.0k citations) and Physiology (349 citations). Jun Han has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tian Yang, Guohao Wu, Xiaoyang Zeng, Zhenli Li, Qingyang Meng, Lei Shen, Qiulei Xi, Mengchao Wu, Feng Shen and Yu Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, HPB and Clinical Nutrition.

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.

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