Ji-Chong Yang

488 total citations
39 papers, 306 citations indexed

About

Ji-Chong Yang is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Ji-Chong Yang has authored 39 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Artificial Intelligence. Recurrent topics in Ji-Chong Yang's work include Particle physics theoretical and experimental studies (23 papers), High-Energy Particle Collisions Research (16 papers) and Quantum Chromodynamics and Particle Interactions (14 papers). Ji-Chong Yang is often cited by papers focused on Particle physics theoretical and experimental studies (23 papers), High-Energy Particle Collisions Research (16 papers) and Quantum Chromodynamics and Particle Interactions (14 papers). Ji-Chong Yang collaborates with scholars based in China, Austria and United States. Ji-Chong Yang's co-authors include Yu-Chen Guo, Yingying Wang, C. X. Yue, Suoying He, Ming Gao, Yu Shi, Yifei Dong, Tong Li, Jinhua Chen and Mao-Zhi Yang and has published in prestigious journals such as Scientific Reports, Nuclear Physics B and International Journal of Hydrogen Energy.

In The Last Decade

Ji-Chong Yang

36 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji-Chong Yang China 12 236 47 41 24 13 39 306
H. R. Schmidt Germany 7 78 0.3× 5 0.1× 9 0.2× 31 1.3× 18 1.4× 17 123
Christian Veelken Estonia 5 35 0.1× 10 0.2× 28 0.7× 1 0.0× 18 1.4× 8 97
John Paul Chou United States 3 165 0.7× 15 0.3× 2 0.0× 3 0.1× 5 0.4× 5 185
R. M. Barnett United States 5 35 0.1× 11 0.2× 17 0.4× 4 0.3× 7 57
L. Rossetto Netherlands 9 93 0.4× 5 0.1× 5 0.1× 8 0.3× 5 0.4× 19 172
Z. Y. Deng China 8 128 0.5× 5 0.1× 2 0.0× 2 0.1× 12 0.9× 65 204
Daniel Reichelt Germany 8 144 0.6× 4 0.1× 6 0.1× 2 0.1× 20 166
Patrick Connor Germany 6 128 0.5× 4 0.1× 7 0.2× 3 0.2× 17 169
Sergio Luis Suárez Gómez Spain 6 11 0.0× 12 0.3× 6 0.1× 3 0.1× 30 2.3× 22 91
Alexander W. Raymond United States 8 24 0.1× 59 1.3× 6 0.3× 7 0.5× 20 118

Countries citing papers authored by Ji-Chong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Chong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Chong Yang. 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 Ji-Chong Yang. The network helps show where Ji-Chong Yang may publish in the future.

Co-authorship network of co-authors of Ji-Chong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Chong Yang. A scholar is included among the top collaborators of Ji-Chong Yang 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 Ji-Chong Yang. Ji-Chong Yang 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.
Yang, Ji-Chong, et al.. (2025). Multi-parameter coupling optimization study on three-zone synergistic efficiency enhancement pattern for wet cooling towers. Applied Thermal Engineering. 278. 127286–127286.
2.
Du, Yufeng, et al.. (2025). Improved genetic algorithm based on bi-level co-evolution for coverage path planning in irregular region. Scientific Reports. 15(1). 10047–10047. 1 indexed citations
3.
Yuan, Xiaojing, et al.. (2025). Effect of three-zone synergistic pattern on thermal resistance performance of wet cooling towers under crosswind. International Communications in Heat and Mass Transfer. 164. 108837–108837. 4 indexed citations
4.
Zhang, Yuting, et al.. (2024). Searching for gluon quartic gauge couplings at muon colliders using the autoencoder. Physical review. D. 109(9). 4 indexed citations
5.
Zhang, Shuai, Yu-Chen Guo, & Ji-Chong Yang. (2024). Optimize the event selection strategy to study the anomalous quartic gauge couplings at muon colliders using the support vector machine and quantum support vector machine. The European Physical Journal C. 84(8). 3 indexed citations
6.
Yang, Ji-Chong, et al.. (2024). Multi-objective optimization of bionic leaf-vein flow field for a PEMEC based on neural network and genetic algorithm. International Journal of Hydrogen Energy. 100. 1083–1094. 8 indexed citations
7.
Yang, Ji-Chong, Wenwen Li, & C. X. Yue. (2024). Split of the pseudocritical temperatures of chiral and confinement-deconfinement transitions by a temperature gradient. Physical review. D. 110(5). 1 indexed citations
8.
Zhang, Shuai, Ji-Chong Yang, & Yu-Chen Guo. (2024). Using k-means assistant event selection strategy to study anomalous quartic gauge couplings at muon colliders. The European Physical Journal C. 84(2). 5 indexed citations
9.
10.
Yang, Ji-Chong, et al.. (2023). Synergistic optimization of partition water distribution, non-equidistant fillings and dry-wet hybrid rain zone for wet cooling towers. Applied Thermal Engineering. 231. 120940–120940. 10 indexed citations
11.
Guo, Yu-Chen, et al.. (2023). MLAnalysis: An open-source program for high energy physics analyses. Computer Physics Communications. 294. 108957–108957. 6 indexed citations
12.
Yang, Ji-Chong, Xiaojing Yuan, Mingyong Wang, Suoying He, & Ming Gao. (2023). Influence mechanism of the three-zone synergistic efficiency-enhancing pattern on the 3D flow field and thermal resistance characteristics for wet cooling towers. International Communications in Heat and Mass Transfer. 149. 107170–107170. 8 indexed citations
13.
Yang, Ji-Chong, Yu-Chen Guo, & Yifei Dong. (2023). Study of the gluonic quartic gauge couplings at muon colliders. Communications in Theoretical Physics. 75(11). 115201–115201. 4 indexed citations
14.
Yang, Ji-Chong, et al.. (2023). Charged-current non-standard neutrino interactions at the LHC and HL-LHC*. Chinese Physics C. 47(4). 43111–43111. 3 indexed citations
15.
Dong, Yifei, et al.. (2023). Searching for anomalous quartic gauge couplings at muon colliders using principal component analysis. The European Physical Journal C. 83(7). 13 indexed citations
16.
Yang, Ji-Chong, et al.. (2022). Using a nested anomaly detection machine learning algorithm to study the neutral triple gauge couplings at an e+e− collider. Nuclear Physics B. 977. 115735–115735. 14 indexed citations
17.
Yang, Ji-Chong, et al.. (2022). Influence of three different pitches fillings on the cooling performance of wet cooling towers under crosswind. Applied Thermal Engineering. 220. 119760–119760. 14 indexed citations
18.
Yang, Ji-Chong, et al.. (2022). Measuring the anomalous quartic gauge couplings in the W+W− → W+W− process at muon collider using artificial neural networks. Journal of High Energy Physics. 2022(9). 24 indexed citations
19.
Li, Wenwen, et al.. (2021). The relation between the radii and the densities of magnetic skyrmions. Communications in Theoretical Physics. 73(7). 75701–75701.
20.
Guo, Yu-Chen, Yingying Wang, & Ji-Chong Yang. (2020). Constraints on anomalous quartic gauge couplings by γγ → W+W− scattering. Nuclear Physics B. 961. 115222–115222. 21 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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