Jicai Pan

686 total citations
36 papers, 503 citations indexed

About

Jicai Pan is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics and Mathematical Physics. According to data from OpenAlex, Jicai Pan has authored 36 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 12 papers in Condensed Matter Physics and 6 papers in Mathematical Physics. Recurrent topics in Jicai Pan's work include High-Energy Particle Collisions Research (22 papers), Particle physics theoretical and experimental studies (14 papers) and Quantum Chromodynamics and Particle Interactions (13 papers). Jicai Pan is often cited by papers focused on High-Energy Particle Collisions Research (22 papers), Particle physics theoretical and experimental studies (14 papers) and Quantum Chromodynamics and Particle Interactions (13 papers). Jicai Pan collaborates with scholars based in United States, Canada and Germany. Jicai Pan's co-authors include Rudolph C. Hwa, Subal Das Gupta, S. Das Gupta, Meng Ta-chung, Martin Grant, Chao Wei-qin, Charles Gale, Richard J. Heck, Shangfei Wang and H. R. Jaqaman and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Nuclear Physics A.

In The Last Decade

Jicai Pan

36 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jicai Pan United States 13 321 179 158 75 66 36 503
Fujio Takagi Japan 12 473 1.5× 92 0.5× 89 0.6× 68 0.9× 40 0.6× 71 540
J. Wosiek Poland 15 587 1.8× 191 1.1× 180 1.1× 141 1.9× 68 1.0× 66 776
W. Kittel Netherlands 15 751 2.3× 135 0.8× 111 0.7× 67 0.9× 61 0.9× 63 870
K. Tso United States 11 243 0.8× 31 0.2× 66 0.4× 81 1.1× 21 0.3× 13 341
Yukio Midzuno Japan 9 103 0.3× 132 0.7× 90 0.6× 224 3.0× 33 0.5× 18 401
Frank R. Brown United States 10 658 2.0× 266 1.5× 43 0.3× 114 1.5× 41 0.6× 16 808
Louis A. P. Balázs United States 13 383 1.2× 80 0.4× 50 0.3× 131 1.7× 20 0.3× 60 565
Maria Paola Lombardo Italy 20 1.0k 3.3× 146 0.8× 43 0.3× 100 1.3× 18 0.3× 63 1.2k
A. McKerrell United Kingdom 12 258 0.8× 68 0.4× 36 0.2× 119 1.6× 16 0.2× 36 384
G. Regnoli Italy 16 472 1.5× 89 0.5× 41 0.3× 44 0.6× 13 0.2× 25 636

Countries citing papers authored by Jicai Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jicai Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jicai Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jicai Pan. A scholar is included among the top collaborators of Jicai Pan 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 Jicai Pan. Jicai Pan 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
1.
Wang, Shangfei, et al.. (2024). VAD: A Video Affective Dataset With Danmu. IEEE Transactions on Affective Computing. 15(4). 1889–1905. 5 indexed citations
2.
Pan, Jicai, et al.. (2024). A Multi-Stage Visual Perception Approach for Image Emotion Analysis. IEEE Transactions on Affective Computing. 15(3). 1786–1799. 4 indexed citations
3.
Pan, Jicai & Shangfei Wang. (2023). Progressive Visual Content Understanding Network for Image Emotion Classification. 6034–6044. 3 indexed citations
4.
Pan, Jicai, et al.. (2023). MEDIC: A Multimodal Empathy Dataset in Counseling. 6054–6062. 3 indexed citations
5.
Pan, Jicai, et al.. (2022). Representation Learning through Multimodal Attention and Time-Sync Comments for Affective Video Content Analysis. Proceedings of the 30th ACM International Conference on Multimedia. 42–50. 12 indexed citations
6.
Pan, Jicai, Subal Das Gupta, & Martin Grant. (1998). First-Order Phase Transition in Intermediate-Energy Heavy Ion Collisions. Physical Review Letters. 80(6). 1182–1185. 36 indexed citations
7.
Gupta, S. Das, et al.. (1997). Similarities between the lattice gas model and some other models of nuclear multifragmentation. Nuclear Physics A. 621(4). 897–910. 17 indexed citations
8.
Pan, Jicai & Subal Das Gupta. (1995). Unified description for the nuclear equation of state and fragmentation in heavy-ion collisions. Physical Review C. 51(3). 1384–1392. 59 indexed citations
9.
Hwa, Rudolph C., C. S. Lam, & Jicai Pan. (1994). Cluster production in quark-hadron phase transition in heavy-ion collisions. Physical Review Letters. 72(6). 820–823. 14 indexed citations
10.
Hwa, Rudolph C. & Jicai Pan. (1994). Cluster growth in two-dimensional quark-hadron phase transition. Physical Review C. 50(5). 2516–2524. 7 indexed citations
11.
Pan, Jicai & Charles Gale. (1994). Probing quark gluon plasma with jets. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 50(5). 3235–3242. 6 indexed citations
12.
Hwa, Rudolph C. & Jicai Pan. (1992). Intermittency in the Ginzburg-Landau theory. Physics Letters B. 297(1-2). 35–38. 19 indexed citations
13.
Hwa, Rudolph C. & Jicai Pan. (1992). Intermittency in high-energy nuclear collisions in the geometrical branching model. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 46(7). 2941–2949. 4 indexed citations
14.
Gao, Chong & Jicai Pan. (1992). Particle composition and clustering in hadron-hadron collisions. The European Physical Journal C. 55(3). 441–444. 1 indexed citations
15.
Gross, D. H. E., et al.. (1992). Intermittency in the multifragmentation of hot nuclei?. Physical Review Letters. 68(2). 146–149. 40 indexed citations
16.
Ta-chung, Meng, et al.. (1989). Origin of proton spin: Rotating constituents?. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 40(3). 769–777. 12 indexed citations
17.
Ta-chung, Meng & Jicai Pan. (1988). Low-, medium-, and high-transverse-energy events in hadron-hadron collisions?. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 37(1). 243–246. 1 indexed citations
18.
Wei-qin, Chao, Meng Ta-chung, & Jicai Pan. (1987). What are the low-transverse-energy jets?. Physical Review Letters. 58(14). 1399–1402. 8 indexed citations
19.
Wei-qin, Chao, Meng Ta-chung, & Jicai Pan. (1987). Rapidity dependence of multiplicity distributions and reaction mechanisms of multiparticle production processes. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 35(1). 152–157. 8 indexed citations
20.
Wei-qin, Chao, et al.. (1986). What does the observed rapidity dependence of the multiplicity distribution in e+e− annihilation processes tell us?. Physics Letters B. 176(1-2). 211–214. 9 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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