Ke Bai

570 total citations
18 papers, 96 citations indexed

About

Ke Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Ke Bai has authored 18 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanical Engineering. Recurrent topics in Ke Bai's work include Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Ke Bai is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Ke Bai collaborates with scholars based in China, United States and United Kingdom. Ke Bai's co-authors include Simeng Chen, Yihui Zhang, Yang Li, Yonggang Huang, Haoran Fu, Hao Wang, Xu Cheng, John A. Rogers, Xiaodong He and Liping Shi and has published in prestigious journals such as Renewable Energy, Journal of the Mechanics and Physics of Solids and Process Safety and Environmental Protection.

In The Last Decade

Ke Bai

15 papers receiving 94 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Bai China 5 43 31 17 11 9 18 96
Petr Blecha Czechia 7 76 1.8× 17 0.5× 9 0.5× 4 0.4× 11 1.2× 22 140
Maciej Majewski Poland 7 61 1.4× 11 0.4× 2 0.1× 12 1.1× 7 0.8× 24 101
Sang-Won Park South Korea 6 40 0.9× 5 0.2× 7 0.4× 3 0.3× 3 0.3× 31 96
Ray P. Prasad 3 40 0.9× 8 0.3× 3 0.2× 3 0.3× 6 0.7× 3 154
Ripudaman Ripi Singh United States 2 39 0.9× 10 0.3× 3 0.2× 1 0.1× 4 0.4× 2 89
Trong Nhan Le France 7 54 1.3× 23 0.7× 6 0.5× 5 0.6× 8 205
Dave Anderson United States 7 55 1.3× 9 0.3× 4 0.2× 23 2.1× 9 1.0× 15 233
Qadeer Khan United States 10 30 0.7× 177 5.7× 4 0.4× 3 0.3× 32 341

Countries citing papers authored by Ke Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ke Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Bai

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

All Works

18 of 18 papers shown
1.
Liu, Jingyun, Senqing Fan, Ke Bai, & Zeyi Xiao. (2024). Synchronized hydrogen-butanol coproduction, Congo red decolorization and food waste utilization in one-pot fermentation process. Renewable Energy. 231. 121002–121002.
2.
Bai, Ke, et al.. (2024). A Comprehensive survey on Emotion Recognition. 1–6.
3.
4.
Shi, Zhan, Guoyin Wang, Ke Bai, et al.. (2023). OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. 7242–7254. 1 indexed citations
5.
Jiang, Hua, et al.. (2023). Parallel Bounded Search for the Maximum Clique Problem. Journal of Computer Science and Technology. 38(5). 1187–1202. 1 indexed citations
6.
Chen, Simeng, et al.. (2022). Path planning of patrol robot based on improved discrete electrostatic discharge algorithm. Journal of Intelligent & Fuzzy Systems. 42(6). 5919–5930. 2 indexed citations
7.
Tian, Jing, et al.. (2021). Research on Early Warning System of Consulting Risk for Power Engineering Project. IOP Conference Series Earth and Environmental Science. 769(4). 42014–42014. 1 indexed citations
8.
Liu, Jingyun, Senqing Fan, Ke Bai, & Zeyi Xiao. (2021). Combining acetone-butanol-ethanol production and methyl orange decolorization in wastewater by fermentation with solid food waste as substrate. Renewable Energy. 179. 2246–2255. 5 indexed citations
9.
Bai, Ke, Liqun Chen, Yizhe Zhang, et al.. (2020). Advancing weakly supervised cross-domain alignment with optimal transport. 3 indexed citations
10.
Fu, Haoran, Ke Bai, Yonggang Huang, & Yihui Zhang. (2020). Recent progress of morphable 3D mesostructures in advanced materials. Journal of Semiconductors. 41(4). 41604–41604. 11 indexed citations
11.
Chen, Li‐Qun, Ke Bai, Chenyang Tao, et al.. (2020). Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7512–7520. 7 indexed citations
12.
Zhang, Ruiyi, Changyou Chen, Xinyuan Zhang, Ke Bai, & Lawrence Carin. (2020). Semantic Matching for Sequence-to-Sequence Learning. 212–222. 3 indexed citations
13.
Li, Yang, Hao Wang, Ke Bai, & Simeng Chen. (2020). Dynamic intelligent risk assessment of hazardous chemical warehouse fire based on electrostatic discharge method and improved support vector machine. Process Safety and Environmental Protection. 145. 425–434. 25 indexed citations
14.
Tao, Chenyang, Shuyang Dai, Liqun Chen, et al.. (2019). Variational annealing of GANs: A Langevin perspective. International Conference on Machine Learning. 6176–6185. 1 indexed citations
15.
Tao, Chenyang, Liqun Chen, Shuyang Dai, et al.. (2019). On Fenchel Mini-Max Learning. Neural Information Processing Systems. 32. 10427–10439. 1 indexed citations
16.
Fu, Haoran, Xu Cheng, Ke Bai, et al.. (2019). Mechanics of bistable cross-shaped structures through loading-path controlled 3D assembly. Journal of the Mechanics and Physics of Solids. 129. 261–277. 32 indexed citations
17.
Li, Chunyuan, Ke Bai, Jianqiao Li, et al.. (2019). Adversarial Learning of a Sampler Based on an Unnormalized Distribution. arXiv (Cornell University). 3302–3311. 2 indexed citations
18.
Du, Shigui, et al.. (2015). Effect of Limestone Powder on Compressive Strength and Drying Shrinkage of Mixed Sand Concrete. Journal of Advanced Microscopy Research. 10(3). 233–236. 1 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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