Haotao Wang

544 total citations
13 papers, 84 citations indexed

About

Haotao Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Haotao Wang has authored 13 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Haotao Wang's work include Adversarial Robustness in Machine Learning (5 papers), Advanced Surface Polishing Techniques (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Haotao Wang is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Advanced Surface Polishing Techniques (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Haotao Wang collaborates with scholars based in United States, Hong Kong and China. Haotao Wang's co-authors include Zhangyang Wang, Kede Ma, Jiayu Zhou, Tianlong Chen, Zhihua Wang, Chaowei Xiao, Sina Mohseni, Zhiding Yu, Haijun Zhang and Ming Zhou and has published in prestigious journals such as ACM Computing Surveys, Machine Learning and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Haotao Wang

13 papers receiving 84 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haotao Wang United States	6	42	29	12	10	9	13	84
Jiaming Tang China	5	31 0.7×	26 0.9×	7 0.6×	12 1.2×	8 0.9×	11	113
Samik Banerjee India	6	19 0.5×	50 1.7×	6 0.5×	6 0.6×	8 0.9×	11	86
Shivlal Mewada India	4	23 0.5×	16 0.6×	14 1.2×	4 0.4×	5 0.6×	7	62
Xiaoxia Wu United States	3	33 0.8×	14 0.5×	16 1.3×	14 1.4×	7 0.8×	5	69
Dominique Beaini Canada	5	30 0.7×	22 0.8×	3 0.3×	6 0.6×	6 0.7×	9	84
Zejiang Shen United States	4	19 0.5×	27 0.9×	6 0.5×	15 1.5×	2 0.2×	8	63
Sebastian Stabinger Austria	6	61 1.5×	34 1.2×	8 0.7×	3 0.3×	6 0.7×	13	114
Anusha Nagabandi United States	4	25 0.6×	8 0.3×	12 1.0×	7 0.7×	8 0.9×	6	54
Michael R. Zhang Canada	3	32 0.8×	30 1.0×	3 0.3×	2 0.2×	3 0.3×	3	72
Kai Kang China	6	10 0.2×	38 1.3×	8 0.7×	3 0.3×	4 0.4×	16	74

Countries citing papers authored by Haotao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Haotao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haotao Wang

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

All Works

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13 of 13 papers shown

Jiang, Ziyu, et al.. (2023). Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. 50825–50837. 1 indexed citations

Wang, Haotao, et al.. (2023). Study of Surface Defect Detection Techniques in Grinding of SiCp/Al Composites. Applied Sciences. 13(21). 11961–11961. 3 indexed citations

Wang, Haotao, Haijun Zhang, & Ming Zhou. (2023). Study on surface defect formation mechanism in ultrasonic vibration-assisted grinding of SiCp/Al composites. The International Journal of Advanced Manufacturing Technology. 129(1-2). 375–397. 8 indexed citations

Wang, Haotao, et al.. (2023). Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 7893–7901. 12 indexed citations

Mohseni, Sina, et al.. (2022). Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Computing Surveys. 55(8). 1–38. 16 indexed citations

Wang, Haotao, et al.. (2022). AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 324. 727–736. 2 indexed citations

Wang, Haotao, Tianlong Chen, Zhangyang Wang, & Kede Ma. (2022). Troubleshooting image segmentation models with human-in-the-loop. Machine Learning. 112(3). 1033–1051. 5 indexed citations

Shen, Jiayi, et al.. (2021). UMEC: Unified model and embedding compression for efficient recommendation systems. 2 indexed citations

Wang, Zhihua, Haotao Wang, Tianlong Chen, Zhangyang Wang, & Kede Ma. (2021). Troubleshooting Blind Image Quality Models in the Wild. 16251–16260. 18 indexed citations

10.

Wang, Haotao, Tianlong Chen, Zhangyang Wang, & Kede Ma. (2021). Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop. 1 indexed citations

11.

Wang, Haotao, et al.. (2021). Learning Model-Based Privacy Protection under Budget Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7702–7710. 9 indexed citations

12.

Wang, Haotao, et al.. (2019). Adversarially Trained Model Compression: When Robustness Meets Efficiency.. arXiv (Cornell University). 3 indexed citations

13.

Hua, Nan, et al.. (2019). Real-Time Rogue ONU Identification with 1D-CNN-based Optical Spectrum Analysis for Secure PON. Tu3B.3–Tu3B.3. 4 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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