L. Han

5.5k total citations
11 papers, 231 citations indexed

About

L. Han is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems. According to data from OpenAlex, L. Han has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Nuclear and High Energy Physics and 2 papers in Information Systems. Recurrent topics in L. Han's work include High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (3 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). L. Han is often cited by papers focused on High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (3 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). L. Han collaborates with scholars based in China, Singapore and Taiwan. L. Han's co-authors include Chun Hu, Wei Wang, Jun Chen, Xuexiang Hu, Haibo Wang, C. Zhong, Y. G., Haibo Wang, Min Yang and Li Yang and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Access and Corrosion Science.

In The Last Decade

L. Han

11 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Han China 7 85 73 45 44 35 11 231
Inseop Lee South Korea 10 81 1.0× 54 0.7× 22 0.5× 34 1.0× 34 287
Wen‐Shyong Hsieh Taiwan 14 121 1.4× 53 0.7× 45 1.0× 39 1.1× 57 485
Chantri Polprasert Thailand 9 77 0.9× 36 0.5× 39 0.9× 44 1.3× 21 329
Chien‐Erh Weng Taiwan 10 131 1.5× 62 0.8× 19 0.4× 8 0.2× 36 479
Shuqing Zhao China 4 176 2.1× 28 0.4× 24 0.5× 5 0.1× 17 452
Mu Li China 10 111 1.3× 45 0.6× 38 0.9× 31 0.9× 34 305
Kyunbyoung Ko South Korea 13 312 3.7× 20 0.3× 38 0.9× 10 0.3× 80 526
Zhongru Wang China 9 29 0.3× 81 1.1× 1 0.0× 57 1.3× 38 1.1× 24 308
Sining Wu China 10 155 1.8× 21 0.3× 25 0.6× 4 0.1× 29 295
Jinwen Li China 13 167 2.0× 18 0.2× 46 1.0× 13 0.4× 41 384

Countries citing papers authored by L. Han

Since Specialization
Citations

This map shows the geographic impact of L. 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 L. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Han more than expected).

Fields of papers citing papers by L. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. 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 L. Han. The network helps show where L. Han may publish in the future.

Co-authorship network of co-authors of L. Han

This figure shows the co-authorship network connecting the top 25 collaborators of L. Han. A scholar is included among the top collaborators of L. 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 L. Han. L. Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Han, L., et al.. (2025). Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States. The Professional Geographer. 77(3). 229–240. 1 indexed citations
2.
Nie, Jiangtian, Jianhang Tang, Yuling Chen, et al.. (2024). Diffusion Model-based Metaverse Rendering in UAV-Enabled Edge Networks With Dual Connectivity. 1–6. 4 indexed citations
3.
Kang, Jiawen, Minrui Xu, Zehui Xiong, et al.. (2024). UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach. IEEE/CAA Journal of Automatica Sinica. 11(2). 430–445. 29 indexed citations
4.
Han, L., et al.. (2021). A Multifunctional Full-Packet Capture and Network Measurement System Supporting Nanosecond Timestamp and Real-Time Analysis. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 3 indexed citations
5.
Han, L., Yiqiang Sheng, & Xuewen Zeng. (2019). A Packet-Length-Adjustable Attention Model Based on Bytes Embedding Using Flow-WGAN for Smart Cybersecurity. IEEE Access. 7. 82913–82926. 17 indexed citations
6.
Chen, Jun, et al.. (2018). Automatic Multi-task Learning System for Abnormal Network Traffic Detection. International Journal of Emerging Technologies in Learning (iJET). 13(4). 4–4. 52 indexed citations
7.
Han, L., Li Yang, Haibo Wang, et al.. (2016). Sustaining reactivity of Fe0 for nitrate reduction via electron transfer between dissolved Fe2+ and surface iron oxides. Journal of Hazardous Materials. 308. 208–215. 48 indexed citations
8.
Wang, Haibo, Chun Hu, L. Han, & Min Yang. (2015). Effects of microbial cycling of Fe(II)/Fe(III) and Fe/N on cast iron corrosion in simulated drinking water distribution systems. Corrosion Science. 100. 599–606. 32 indexed citations
9.
Zhang, S., et al.. (2014). Production and ratio ofπ,K,p, andΛin Pb + Pb collisions atsNN=2.76TeV. Physical Review C. 89(3). 6 indexed citations
10.
Han, L., et al.. (2011). Forward-backward elliptic anisotropy correlations in parton cascades. Physical Review C. 83(4). 2 indexed citations
11.
Han, L., et al.. (2011). Initial fluctuation effect on harmonic flows in high-energy heavy-ion collisions. Physical Review C. 84(6). 37 indexed citations

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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