C. S. Gao

8.2k total citations
16 papers, 12 citations indexed

About

C. S. Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, C. S. Gao has authored 16 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Ecology. Recurrent topics in C. S. Gao's work include Particle physics theoretical and experimental studies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Quantum Chromodynamics and Particle Interactions (2 papers). C. S. Gao is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Quantum Chromodynamics and Particle Interactions (2 papers). C. S. Gao collaborates with scholars based in China, Netherlands and Hong Kong. C. S. Gao's co-authors include Shuai Wang, Yang Liu, Daoyuan Wu, Zongjie Li, Chaozheng Wang, Fei Du, Gui-Fu Lu, Ting Hu, F. De Mori and Qingshan Liu and has published in prestigious journals such as American Journal of Clinical Nutrition, Expert Systems with Applications and Marine Pollution Bulletin.

In The Last Decade

C. S. Gao

6 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. S. Gao China 3 5 3 2 2 1 16 12
S. Poprocki United States 2 4 0.8× 4 1.3× 2 1.0× 4 9
G. Merz Denmark 2 6 1.2× 3 1.0× 1 0.5× 2 11
D. Salamani Switzerland 2 4 0.8× 3 1.0× 3 4
W. Rzesa Poland 3 3 0.6× 2 0.7× 1 0.5× 2 1.0× 5 11
A. Winter Germany 2 6 1.2× 3 1.0× 4 8
S. Klepser Germany 2 3 0.6× 3 1.0× 2 1.0× 4 8
D. Kobylianskii Israel 3 5 1.0× 4 1.3× 1 0.5× 5 9
Antonio Di Pilato Switzerland 3 7 1.4× 3 1.0× 1 0.5× 5 11
R. Itay United States 2 7 1.4× 3 1.0× 1 0.5× 2 8
F. Drielsma United States 2 7 1.4× 3 1.0× 1 0.5× 3 8

Countries citing papers authored by C. S. Gao

Since Specialization
Citations

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

Fields of papers citing papers by C. S. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. S. Gao. 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 C. S. Gao. The network helps show where C. S. Gao may publish in the future.

Co-authorship network of co-authors of C. S. Gao

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

All Works

16 of 16 papers shown
1.
2.
Wang, Yong, et al.. (2025). KanDMVC: KAN be used for deep multi-view clustering?. Expert Systems with Applications. 273. 126868–126868.
3.
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Gao, C. S., Jing Li, Qingyan Wang, et al.. (2025). Dual Consequences of Reclamation: Enhanced Ammonia Oxidation and Carbon Sink Dynamics Versus Escalated Nitrous Oxide Production in Estuarine Wetlands. Land Degradation and Development. 37(4). 1368–1380.
6.
Gao, C. S., et al.. (2025). Salinity-driven shifts in potential ammonia oxidation rates and microbial community dynamics in estuarine mangrove sediments. Marine Pollution Bulletin. 222(Pt 3). 118936–118936.
7.
Feng, Yanqing, et al.. (2025). Seasonal variations in greenhouse gas production in coastal sandy sediments. Marine Pollution Bulletin. 221. 118573–118573.
8.
Fu, Yuanqing, Wanglong Gou, Zelei Miao, et al.. (2025). Quantification of personalized glycemic sensitivity to food and its potential for precision nutrition in a series of n-of-1 trials. American Journal of Clinical Nutrition. 122(2). 502–512.
9.
Pan, Wenxia, Dapeng Zhang, X. Chen, C. S. Gao, & Jian Yang. (2025). Data-Driven Inversion and Prediction Method for Hot-Spot Temperature of Oil-Immersed Transformer. IEEE Transactions on Power Delivery. 40(5). 2729–2736.
10.
Lu, Guo‐Dong, et al.. (2025). SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network. 1–5. 1 indexed citations
11.
Li, Zongjie, Chaozheng Wang, Daoyuan Wu, et al.. (2024). Split and Merge: Aligning Position Biases in LLM-based Evaluators. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11084–11108. 4 indexed citations
12.
Gao, C. S., Jianwei Lü, Wei Ye, et al.. (2024). COL3a simultaneously regulates flowering and branching to improve grain yield in soybean. Plant Biotechnology Journal. 23(1). 201–203. 1 indexed citations
13.
Liu, Qingshan, et al.. (2023). Health warning based on 3R ECG Sample's combined features and LSTM. Computers in Biology and Medicine. 162. 107082–107082. 1 indexed citations
14.
Zhang, Yuqing, C. S. Gao, Fei Du, et al.. (2023). The Dehydration Rotation Speed Curve Extraction based on 3D Vibration Signals for Drum Washing Machine. 2001. 804–808.
15.
Mori, F. De, J. Z. Bai, Y. Bai, et al.. (2008). First measurements of J/psi decays into Sigma(+)(Sigma)over-bar(-) and Xi(0)(Xi)over-bar(0). arXiv (Cornell University). 78(9). 92005. 3 indexed citations
16.
Mori, F. De, J. Z. Bai, Jin Chen, et al.. (2008). Search for the decays J/{psi}{yields}{gamma}{rho}{phi} and J/{psi}{yields}{gamma}{rho}{omega}. arXiv (Cornell University). 77(1). 12001. 2 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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