Caleb Chen Cao

1.0k total citations
24 papers, 628 citations indexed

About

Caleb Chen Cao is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Caleb Chen Cao has authored 24 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caleb Chen Cao's work include Explainable Artificial Intelligence (XAI) (9 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Topic Modeling (4 papers). Caleb Chen Cao is often cited by papers focused on Explainable Artificial Intelligence (XAI) (9 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Topic Modeling (4 papers). Caleb Chen Cao collaborates with scholars based in Hong Kong, China and United States. Caleb Chen Cao's co-authors include Lei Chen, Yongxin Tong, Jieying She, Xiaohui Li, Yuhan Shi, Wei Bai, Chen Zhang, Han Gao, Shenjia Zhang and Cong Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Visualization and Computer Graphics and British Journal of Psychology.

In The Last Decade

Caleb Chen Cao

22 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caleb Chen Cao Hong Kong 11 350 278 129 125 98 24 628
Jieying She Hong Kong 13 316 0.9× 516 1.9× 227 1.8× 180 1.4× 264 2.7× 15 890
Zhaopeng Qiu China 13 323 0.9× 289 1.0× 74 0.6× 190 1.5× 59 0.6× 23 674
Hien To United States 14 533 1.5× 705 2.5× 131 1.0× 65 0.5× 118 1.2× 20 937
Bolin Ding United States 13 609 1.7× 97 0.3× 152 1.2× 653 5.2× 152 1.6× 21 947
Lucas Drumond Germany 13 534 1.5× 212 0.8× 149 1.2× 593 4.7× 94 1.0× 32 914
Yongji Wu China 7 245 0.7× 72 0.3× 23 0.2× 252 2.0× 91 0.9× 11 479
Peng Dai United States 11 256 0.7× 299 1.1× 117 0.9× 56 0.4× 48 0.5× 25 456
Akihiko Ohsuga Japan 12 436 1.2× 85 0.3× 28 0.2× 236 1.9× 209 2.1× 169 714
Liu Fang-ai China 16 278 0.8× 54 0.2× 30 0.2× 270 2.2× 114 1.2× 65 612
Tsunenori Mine Japan 12 241 0.7× 148 0.5× 16 0.1× 207 1.7× 88 0.9× 105 461

Countries citing papers authored by Caleb Chen Cao

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Chen Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caleb Chen Cao. 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 Caleb Chen Cao. The network helps show where Caleb Chen Cao may publish in the future.

Co-authorship network of co-authors of Caleb Chen Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb Chen Cao. A scholar is included among the top collaborators of Caleb Chen Cao 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 Caleb Chen Cao. Caleb Chen Cao 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.
Feng, Bin, et al.. (2025). CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling. ACM Transactions on Information Systems. 43(4). 1–26.
2.
Qi, Ruoxi, et al.. (2024). Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification. British Journal of Psychology. 1 indexed citations
3.
Li, Tong, et al.. (2023). Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8640–8647. 7 indexed citations
4.
Xie, Weiyan, Xiaohui Li, Caleb Chen Cao, & Nevin L. Zhang. (2023). ViT-CX: Causal Explanation of Vision Transformers. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1569–1577. 9 indexed citations
5.
Wang, Zhiyong, Haitao Yang, Yue Wang, et al.. (2023). Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3915–3929. 3 indexed citations
6.
Yang, Yi, et al.. (2022). Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. Proceedings of the ACM Web Conference 2022. 3594–3605. 13 indexed citations
7.
Li, Haoyang, Caleb Chen Cao, Xiaohui Li, et al.. (2022). Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3268–3279. 6 indexed citations
8.
Wang, Zhiyong, et al.. (2022). Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3359–3373. 2 indexed citations
9.
Yang, Yi, Yueyuan Zheng, Yongxiang Huang, et al.. (2022). HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 10(1). 231–242. 7 indexed citations
10.
Li, Xiaohui, et al.. (2021). Counterfactual Explanations in Explainable AI: A Tutorial. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4080–4081. 5 indexed citations
11.
Li, Xiaohui, Yuhan Shi, Haoyang Li, et al.. (2021). An Experimental Study of Quantitative Evaluations on Saliency Methods. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3200–3208. 22 indexed citations
12.
Li, Xiaohui, Caleb Chen Cao, Yuhan Shi, et al.. (2020). A Survey of Data-driven and Knowledge-aware eXplainable AI. IEEE Transactions on Knowledge and Data Engineering. 1–1. 155 indexed citations
13.
She, Jieying, Yongxin Tong, Lei Chen, & Caleb Chen Cao. (2015). Conflict-aware event-participant arrangement. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 735–746. 39 indexed citations
14.
Meng, Rui, Yongxin Tong, Lei Chen, & Caleb Chen Cao. (2015). CrowdTC: Crowdsourced Taxonomy Construction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 913–918. 6 indexed citations
15.
Tong, Yongxin, Caleb Chen Cao, Chen Zhang, Yatao Li, & Lei Chen. (2014). CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1182–1185. 38 indexed citations
16.
Chen, Zhao, Rui Fu, Ziyuan Zhao, et al.. (2014). gMission. Proceedings of the VLDB Endowment. 7(13). 1629–1632. 92 indexed citations
17.
Cao, Caleb Chen, Lei Chen, & H. V. Jagadish. (2014). From labor to trader. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1067–1076. 6 indexed citations
18.
Tong, Yongxin, Xiaofei Zhang, Caleb Chen Cao, & Lei Chen. (2014). Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 809–818. 10 indexed citations
19.
Tong, Yongxin, Caleb Chen Cao, & Lei Chen. (2014). TCS. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 861–870. 29 indexed citations
20.
Cao, Caleb Chen, Yongxin Tong, Lei Chen, & H. V. Jagadish. (2013). WiseMarket. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 455–463. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jieying She Breakdown of academic impact, for papers by Zhaopeng Qiu Breakdown of academic impact, for papers by Hien To Breakdown of academic impact, for papers by Bolin Ding Breakdown of academic impact, for papers by Lucas Drumond Breakdown of academic impact, for papers by Yongji Wu Breakdown of academic impact, for papers by Peng Dai Breakdown of academic impact, for papers by Akihiko Ohsuga Breakdown of academic impact, for papers by Liu Fang-ai Breakdown of academic impact, for papers by Tsunenori Mine
Rankless by CCL
2026