Muchao Ye

490 total citations
13 papers, 283 citations indexed

About

Muchao Ye is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muchao Ye has authored 13 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Health Information Management and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muchao Ye's work include Topic Modeling (9 papers), Artificial Intelligence in Healthcare (6 papers) and Machine Learning in Healthcare (6 papers). Muchao Ye is often cited by papers focused on Topic Modeling (9 papers), Artificial Intelligence in Healthcare (6 papers) and Machine Learning in Healthcare (6 papers). Muchao Ye collaborates with scholars based in United States, China and Germany. Muchao Ye's co-authors include Fenglong Ma, Junyu Luo, Cao Xiao, Quanzeng You, Chenglin Miao, Ting Wang, Xingyi Yang, Yaqing Wang, Jinghui Chen and Weiyang Liu and has published in prestigious journals such as 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Muchao Ye

13 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muchao Ye United States 8 249 118 43 37 34 13 283
Shahid Mohammad Ganie India 9 160 0.6× 193 1.6× 15 0.3× 3 0.1× 40 1.2× 22 311
Youness Khourdifi Morocco 6 166 0.7× 181 1.5× 36 0.8× 5 0.1× 16 0.5× 8 281
Qiubin Yu China 8 184 0.7× 29 0.2× 99 2.3× 7 0.2× 11 0.3× 10 251
Joseph Moutiris Cyprus 4 115 0.5× 146 1.2× 4 0.1× 2 0.1× 9 0.3× 9 205
Channabasava Chola India 10 96 0.4× 14 0.1× 6 0.1× 3 0.1× 84 2.5× 20 221
Hunter Lang United States 3 113 0.5× 14 0.1× 16 0.4× 2 0.1× 8 0.2× 6 150
Arul Menezes United States 15 738 3.0× 3 0.0× 45 1.0× 5 0.1× 65 1.9× 29 766
Vincent Claveau France 9 119 0.5× 4 0.0× 32 0.7× 10 0.3× 51 1.5× 39 185
Sachikanta Dash India 6 25 0.1× 35 0.3× 8 0.2× 3 0.1× 39 1.1× 31 132
Debasish Swapnesh Kumar Nayak India 9 63 0.3× 26 0.2× 34 0.8× 9 0.3× 37 169

Countries citing papers authored by Muchao Ye

Since Specialization
Citations

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

Fields of papers citing papers by Muchao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muchao Ye

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

All Works

13 of 13 papers shown
1.
Ye, Muchao, Weiyang Liu, & He Pan. (2025). VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. 8679–8688. 5 indexed citations
2.
Ye, Muchao, Jiaqi Wang, Han Liu, et al.. (2024). VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6755–6763. 1 indexed citations
3.
Ye, Muchao, et al.. (2023). PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. 3093–3104. 5 indexed citations
4.
Ye, Muchao, Jinghui Chen, Chenglin Miao, Ting Wang, & Fenglong Ma. (2022). LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2307–2315. 11 indexed citations
5.
Ye, Muchao, Chenglin Miao, Ting Wang, & Fenglong Ma. (2022). TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3877–3884. 19 indexed citations
6.
Ye, Muchao, Quanzeng You, & Fenglong Ma. (2022). QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2503–2511. 6 indexed citations
7.
Luo, Junyu, et al.. (2022). MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. 81–90. 4 indexed citations
8.
Ma, Fenglong, Muchao Ye, Junyu Luo, Cao Xiao, & Jimeng Sun. (2021). Advances in Mining Heterogeneous Healthcare Data. 4050–4051. 10 indexed citations
9.
Ye, Muchao, et al.. (2021). MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. 1397–1409. 35 indexed citations
10.
Ye, Muchao, et al.. (2021). MedRetriever. 2414–2423. 14 indexed citations
11.
Yang, Xingyi, Muchao Ye, Quanzeng You, & Fenglong Ma. (2021). Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. 5000–5009. 26 indexed citations
12.
Luo, Junyu, Muchao Ye, Cao Xiao, & Fenglong Ma. (2020). HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. 647–656. 121 indexed citations
13.
Ye, Muchao, Junyu Luo, Cao Xiao, & Fenglong Ma. (2020). LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. 1753–1762. 26 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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