Mi Zhang

1.7k total citations
48 papers, 1.1k citations indexed

About

Mi Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mi Zhang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mi Zhang's work include Recommender Systems and Techniques (13 papers), Adversarial Robustness in Machine Learning (11 papers) and Advanced Graph Neural Networks (8 papers). Mi Zhang is often cited by papers focused on Recommender Systems and Techniques (13 papers), Adversarial Robustness in Machine Learning (11 papers) and Advanced Graph Neural Networks (8 papers). Mi Zhang collaborates with scholars based in China, Ireland and United States. Mi Zhang's co-authors include Neil Hurley, Min Yang, Xudong Pan, Daizong Ding, Xiangyang Xue, Shouling Ji, Jie Tang, Xiangnan He, Yinzhi Cao and Xiaohan Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Phytochemistry and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Mi Zhang

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Zhang China 11 621 458 243 240 213 48 1.1k
Sandeep Pandey India 19 518 0.8× 395 0.9× 164 0.7× 228 0.9× 311 1.5× 49 1.0k
Noam Koenigstein Israel 16 647 1.0× 515 1.1× 223 0.9× 173 0.7× 139 0.7× 68 1.1k
Abhinandan Das United States 6 767 1.2× 543 1.2× 297 1.2× 147 0.6× 443 2.1× 6 1.3k
Onno Zoeter France 11 365 0.6× 370 0.8× 88 0.4× 192 0.8× 117 0.5× 27 915
Sebastian Schelter Netherlands 18 539 0.9× 653 1.4× 179 0.7× 301 1.3× 408 1.9× 68 1.4k
Juan M. Fernández‐Luna Spain 16 550 0.9× 553 1.2× 154 0.6× 139 0.6× 126 0.6× 83 1.1k
Xinran He United States 12 400 0.6× 401 0.9× 51 0.2× 160 0.7× 212 1.0× 31 1.2k
Yun Sing Koh New Zealand 17 395 0.6× 636 1.4× 156 0.6× 88 0.4× 145 0.7× 81 986
Yongli Ren Australia 15 391 0.6× 348 0.8× 101 0.4× 95 0.4× 102 0.5× 76 834
Cihan Kaleli Türkiye 12 666 1.1× 457 1.0× 57 0.2× 103 0.4× 123 0.6× 29 854

Countries citing papers authored by Mi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Zhang. A scholar is included among the top collaborators of Mi Zhang 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 Mi Zhang. Mi Zhang 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.
Pan, Xudong, et al.. (2024). Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 663–678.
2.
Ji, Shouling, Xudong Pan, Xuhong Zhang, et al.. (2024). Towards Practical Backdoor Attacks on Federated Learning Systems. IEEE Transactions on Dependable and Secure Computing. 21(6). 5431–5447. 4 indexed citations
3.
Zhang, Mi, et al.. (2024). GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks. 652–663. 4 indexed citations
4.
5.
6.
Ding, Daizong, et al.. (2023). MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. 2000–2010. 5 indexed citations
7.
Ding, Daizong, et al.. (2023). CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. 12260–12270. 1 indexed citations
8.
Pan, Xudong, et al.. (2023). Cracking White-box DNN Watermarks via Invariant Neuron Transforms. 1783–1794. 5 indexed citations
9.
10.
Zhang, Mi, et al.. (2021). Learning to Learn the Future. 2434–2443. 13 indexed citations
11.
Ding, Daizong, Mi Zhang, Hanrui Wang, et al.. (2021). A Deep Learning Framework for Self-evolving Hierarchical Community Detection. 372–381. 5 indexed citations
12.
Li, Xiao‐Nian, Mi Zhang, Qin Li, et al.. (2020). Hypoxylonoids A−G: Isopimarane diterpene glycosides from Xylaria hypoxylon. Phytochemistry. 182. 112613–112613. 5 indexed citations
13.
Pan, Xudong, Mi Zhang, Daizong Ding, & Min Yang. (2020). A Geometrical Perspective on Image Style Transfer with Adversarial Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 1–1. 8 indexed citations
14.
Pan, Xudong, et al.. (2020). Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent. 1641–1658. 8 indexed citations
15.
Ding, Daizong, Mi Zhang, Xudong Pan, Min Yang, & Xiangnan He. (2019). Modeling Extreme Events in Time Series Prediction. 1114–1122. 89 indexed citations
16.
Ding, Daizong, et al.. (2018). Geographical Feature Extraction for Entities in Location-based Social Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 833–842. 14 indexed citations
17.
Rabbi, Mashfiqui, et al.. (2015). An intelligent crowd-worker selection approach for reliable content labeling of food images. 1–8. 4 indexed citations
18.
Hurley, Neil & Mi Zhang. (2011). Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation. ACM Transactions on Internet Technology. 10(4). 1–30. 212 indexed citations
19.
Zhang, Mi & Neil Hurley. (2009). Statistical Modeling of Diversity in Top-N Recommender Systems. 490–497. 10 indexed citations
20.
Zhang, Mi, et al.. (2005). A Web Service-Based Framework for Supply Chain Management. 4. 316–319. 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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