Fuzheng Zhang

9.3k total citations · 8 hit papers
52 papers, 4.7k citations indexed

About

Fuzheng Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fuzheng Zhang has authored 52 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 23 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fuzheng Zhang's work include Topic Modeling (21 papers), Recommender Systems and Techniques (19 papers) and Natural Language Processing Techniques (11 papers). Fuzheng Zhang is often cited by papers focused on Topic Modeling (21 papers), Recommender Systems and Techniques (19 papers) and Natural Language Processing Techniques (11 papers). Fuzheng Zhang collaborates with scholars based in China, United States and Hong Kong. Fuzheng Zhang's co-authors include Xing Xie, Nicholas Jing Yuan, Minyi Guo, Defu Lian, Wei‐Ying Ma, Miao Zhao, Hongwei Wang, Hongwei Wang, Wenjie Li and Zhongyuan Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and Signal Processing.

In The Last Decade

Fuzheng Zhang

48 papers receiving 4.6k citations

Hit Papers

Collaborative Knowledge Base Embedding for Recommender Sy... 2016 2026 2019 2022 2016 2018 2018 2018 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuzheng Zhang China 22 3.6k 3.0k 852 568 354 52 4.7k
Le Wu China 31 2.4k 0.7× 2.3k 0.8× 757 0.9× 305 0.5× 371 1.0× 117 3.7k
Zhaochun Ren China 33 3.1k 0.8× 2.2k 0.7× 731 0.9× 455 0.8× 240 0.7× 147 3.9k
Chenliang Li China 32 3.4k 0.9× 1.5k 0.5× 595 0.7× 418 0.7× 232 0.7× 134 4.5k
Chao Huang China 34 2.8k 0.8× 2.0k 0.7× 684 0.8× 279 0.5× 335 0.9× 122 4.1k
Craig Macdonald United Kingdom 33 2.6k 0.7× 2.8k 0.9× 710 0.8× 352 0.6× 510 1.4× 239 4.4k
Iadh Ounis United Kingdom 38 3.1k 0.9× 3.2k 1.1× 869 1.0× 367 0.6× 619 1.7× 277 5.1k
Fuli Feng China 34 2.6k 0.7× 1.9k 0.6× 1.3k 1.5× 657 1.2× 185 0.5× 168 4.3k
Defu Lian China 33 2.7k 0.7× 2.9k 1.0× 978 1.1× 528 0.9× 549 1.6× 168 4.8k
Tal Shaked United States 8 3.2k 0.9× 2.8k 0.9× 1.2k 1.4× 667 1.2× 513 1.4× 9 5.0k
Yongfeng Zhang United States 32 3.2k 0.9× 2.8k 0.9× 844 1.0× 561 1.0× 206 0.6× 107 4.2k

Countries citing papers authored by Fuzheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fuzheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuzheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuzheng Zhang. A scholar is included among the top collaborators of Fuzheng 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 Fuzheng Zhang. Fuzheng 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.
Liu, Jiaheng, Yushuo Guan, Yuanxing Zhang, et al.. (2025). Mavors: Multi-granularity Video Representation for Multimodal Large Language Model. 10994–11003. 1 indexed citations
3.
Chen, Yiyang, Fuzheng Zhang, Guina Wang, Guirong Weng, & Daniele Fontanelli. (2025). An Active Contour Model Based on Fuzzy Superpixel Centers and Nonlinear Diffusion Filter for Instance Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 2 indexed citations
4.
Wang, Xiao, et al.. (2025). Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2912–2923. 1 indexed citations
5.
Zhang, Fuzheng, et al.. (2025). Anisotropic edge-enhanced active contour model with Gaussian difference for robust multi-category image segmentation. The Visual Computer. 41(12). 10153–10170.
6.
Cao, Liang, Yiming Wang, Fuzheng Zhang, et al.. (2024). A LabVIEW-Based Generalized Experimental Test Platform for Precision Machining Control Algorithms. Processes. 12(11). 2542–2542.
7.
Zhou, Kun, et al.. (2024). Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. 9729–9750. 1 indexed citations
8.
Chen, Zhipeng, Kun Zhou, Xin Zhao, et al.. (2024). Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. 5694–5711. 2 indexed citations
9.
Wang, Guina, Fuzheng Zhang, Yiyang Chen, Guirong Weng, & Hongtian Chen. (2023). An Active Contour Model Based on Local Pre-Piecewise Fitting Bias Corrections for Fast and Accurate Segmentation. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 29 indexed citations
10.
Zhao, Zihao, Jiawei Chen, Sheng Zhou, et al.. (2022). Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Transactions on Knowledge and Data Engineering. 35(10). 9920–9931. 52 indexed citations
11.
Zhou, Kun, Wayne Xin Zhao, Sirui Wang, et al.. (2021). Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3875–3887. 4 indexed citations
12.
13.
Yan, Yuanmeng, Rumei Li, Sirui Wang, et al.. (2021). ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. 5065–5075. 303 indexed citations breakdown →
14.
Jin, Beihong, et al.. (2021). Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. 5054–5064. 14 indexed citations
15.
Zhang, Hongzhi, Yingyao Wang, Sirui Wang, et al.. (2020). Table Fact Verification with Structure-Aware Transformer. 1624–1629. 31 indexed citations
16.
17.
Lian, Defu, Yong Ge, Fuzheng Zhang, et al.. (2018). Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Transactions on Knowledge and Data Engineering. 30(6). 1122–1135. 61 indexed citations
18.
Wang, Yingzi, Nicholas Jing Yuan, Yu Sun, et al.. (2016). A contextual collaborative approach for app usage forecasting. 1247–1258. 13 indexed citations
19.
Lian, Defu, Zhenyu Zhang, Yong Ge, et al.. (2016). Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. 1029–1034. 17 indexed citations
20.
Lian, Defu, Yong Ge, Fuzheng Zhang, et al.. (2015). Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. 261–270. 64 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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