Ming Zhang

6.1k total citations · 2 hit papers
126 papers, 3.2k citations indexed

About

Ming Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ming Zhang has authored 126 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 48 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Ming Zhang's work include Advanced Graph Neural Networks (31 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (23 papers). Ming Zhang is often cited by papers focused on Advanced Graph Neural Networks (31 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (23 papers). Ming Zhang collaborates with scholars based in China, United States and Canada. Ming Zhang's co-authors include Wei Ju, Xiao Luo, Qiaozhu Mei, Dong Zhang, Edward Yi Chang, Haoyuan Li, Yi Wang, Xiaohua Liu, Feng Qian and Ming Zhou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Ming Zhang

118 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combating Fake News

2019 318 citations Ming Zhang et al. profile →
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2008 316 citations Ming Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Zhang China	31	1.7k	1.1k	460	408	283	126	3.2k
Aijun An Canada	29	1.8k 1.1×	1.2k 1.1×	407 0.9×	265 0.6×	256 0.9×	141	3.1k
Fred Morstatter United States	24	1.5k 0.9×	703 0.6×	894 1.9×	420 1.0×	483 1.7×	80	3.3k
Ngoc Thanh Nguyên Poland	26	1.5k 0.9×	841 0.7×	263 0.6×	206 0.5×	225 0.8×	301	2.9k
Panayiotis Tsaparas Greece	24	1.3k 0.8×	932 0.8×	251 0.5×	696 1.7×	399 1.4×	63	2.5k
Kuansan Wang United States	23	2.0k 1.1×	960 0.9×	147 0.3×	479 1.2×	502 1.8×	65	3.1k
Jiliang Tang United States	25	2.0k 1.2×	1.6k 1.4×	391 0.8×	797 2.0×	667 2.4×	49	3.5k
Miles Osborne United Kingdom	37	4.2k 2.5×	827 0.7×	300 0.7×	577 1.4×	546 1.9×	91	5.2k
Niloy Ganguly India	31	1.6k 1.0×	1.1k 1.0×	903 2.0×	1.3k 3.1×	314 1.1×	258	4.0k
Alexander Hinneburg Germany	12	1.7k 1.0×	616 0.5×	324 0.7×	289 0.7×	574 2.0×	32	3.0k

Countries citing papers authored by Ming Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Yifan, Yiyang Gu, Zhiping Xiao, et al.. (2025). Hypergraph Consistency Learning With Relational Distillation. IEEE Transactions on Multimedia. 27. 7028–7039.

2.

Chen, Qianglong, Jinjin Ma, Shui Yu, et al.. (2025). “Small Dots, Multiple Functions”: Unveiling the Veil of a Bioactive Quercetin Carbon Dot and Its Multifaceted Antibacterial and Osteogenesis Mechanisms for Infectious Bone Defect Repair. Advanced Functional Materials. 35(46). 4 indexed citations

3.

Qin, Yifang, Wei Ju, Yiyang Gu, et al.. (2025). PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. ACM Transactions on Information Systems. 43(4). 1–28. 2 indexed citations

4.

Gu, Yiyang, Zihao Chen, Yifang Qin, et al.. (2024). DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs. IEEE Transactions on Multimedia. 28. 2031–2046. 7 indexed citations

5.

Wang, Yifan, Xiao Luo, Chong Chen, et al.. (2024). DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8192–8204. 16 indexed citations

6.

Ju, Wei, Ziyue Qiao, Yifang Qin, et al.. (2024). Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognition. 153. 110567–110567. 7 indexed citations

7.

Xiao, Zhiping, et al.. (2024). A bioactivity foundation model using pairwise meta-learning. Nature Machine Intelligence. 6(8). 962–974. 9 indexed citations

8.

Ju, Wei, Yifan Wang, Zhiping Xiao, et al.. (2024). Learning Knowledge-diverse Experts for Long-tailed Graph Classification. ACM Transactions on Knowledge Discovery from Data. 19(2). 1–24. 1 indexed citations

9.

Zhang, Ming, Linfeng Zhang, Chengyin Wu, et al.. (2023). Geometric Phase Effect in Attosecond Stimulated X-ray Raman Spectroscopy. The Journal of Physical Chemistry A. 127(16). 3608–3613. 5 indexed citations

10.

Luo, Xiao, Wei Ju, Yiyang Gu, et al.. (2023). Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–23. 45 indexed citations

11.

Ju, Wei, et al.. (2023). RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. 3817–3826. 10 indexed citations

12.

Wang, Longyue, et al.. (2023). Towards a Unified Training for Levenshtein Transformer. 34. 1–5. 1 indexed citations

13.

Qin, Yifang, Yifan Wang, Fang Sun, et al.. (2023). DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. 508–516. 46 indexed citations

14.

Luo, Xiao, Yusheng Zhao, Yifang Qin, Wei Ju, & Ming Zhang. (2023). Towards Semi-Supervised Universal Graph Classification. IEEE Transactions on Knowledge and Data Engineering. 36(1). 416–428. 30 indexed citations

15.

Ju, Wei, et al.. (2022). GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. Neural Networks. 151. 70–79. 37 indexed citations

16.

Liu, Jingyu, Gangming Zhao, Fei Yu, et al.. (2019). Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. 10631–10640. 64 indexed citations

17.

Yan, Rui, Yiping Song, Cheng–Te Li, Ming Zhang, & Xiaohua Hu. (2015). Opportunities or risks to reduce labor in crowdsourcing translation? characterizing cost versus quality via a pagerank-HITS hybrid model. International Conference on Artificial Intelligence. 1025–1032. 4 indexed citations

18.

Zhang, Ming. (2012). Personalized Recommendation Algorithm on Microblogs. Jisuanji kexue yu tansuo. 3 indexed citations

19.

Zhang, Ming. (2008). Application of PPE model based on accelerating genetic algorithm in the evaluation of slope stability. Journal of Hefei University of Technology. 1 indexed citations

20.

Zhang, Ming. (2003). Research on trading price-volume relationship under China's stock market segmentation. Huadong jingji guanli.

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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