Yanfeng Wang

7.6k total citations · 1 hit paper
134 papers, 2.4k citations indexed

About

Yanfeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yanfeng Wang has authored 134 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 59 papers in Computer Vision and Pattern Recognition and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yanfeng Wang's work include Multimodal Machine Learning Applications (18 papers), Advanced Neural Network Applications (16 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Yanfeng Wang is often cited by papers focused on Multimodal Machine Learning Applications (18 papers), Advanced Neural Network Applications (16 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Yanfeng Wang collaborates with scholars based in China, United States and United Kingdom. Yanfeng Wang's co-authors include Ya Zhang, Siheng Chen, Qi Tian, Qinwei Xu, Ruipeng Zhang, Maosen Li, Qi Tian, Yangheng Zhao, Chenxin Xu and Chaoyi Wu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yanfeng Wang

118 papers receiving 2.3k 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.

A Fourier-based Framework for Domain Generalization

2021 318 citations Qinwei Xu, Ya 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
Yanfeng Wang China	24	1.4k	1.0k	262	195	189	134	2.4k
Tao Mei China	27	2.2k 1.6×	846 0.8×	177 0.7×	70 0.4×	151 0.8×	102	2.9k
Yutaka Satoh Japan	17	1.9k 1.4×	889 0.9×	334 1.3×	119 0.6×	114 0.6×	95	2.6k
Chen Qian China	31	2.3k 1.7×	1.1k 1.1×	173 0.7×	94 0.5×	100 0.5×	109	3.2k
Hirokatsu Kataoka Japan	15	1.8k 1.3×	973 1.0×	338 1.3×	118 0.6×	146 0.8×	84	2.4k
Mohamed Atri Tunisia	24	1.6k 1.2×	590 0.6×	260 1.0×	166 0.9×	105 0.6×	165	2.8k
Quanfu Fan United States	18	1.3k 1.0×	587 0.6×	154 0.6×	157 0.8×	81 0.4×	48	2.1k
Zhangjie Cao China	19	1.9k 1.4×	2.1k 2.1×	117 0.4×	259 1.3×	140 0.7×	35	3.4k
Reza Safabakhsh Iran	23	1.1k 0.8×	928 0.9×	222 0.8×	54 0.3×	69 0.4×	110	2.4k
Lu Jiang United States	28	2.5k 1.8×	1.9k 1.9×	102 0.4×	137 0.7×	251 1.3×	63	3.7k
Ruonan Li China	14	1.1k 0.8×	1.2k 1.2×	140 0.5×	97 0.5×	48 0.3×	49	2.0k

Countries citing papers authored by Yanfeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yanfeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfeng Wang. A scholar is included among the top collaborators of Yanfeng 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 Yanfeng Wang. Yanfeng Wang 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

Liu, Li, Jialin Gao, Sun Xin, et al.. (2025). COST: Contrastive one-stage transformer for vision-language small object tracking. Information Fusion. 126. 103604–103604.

Deng, Chengjiang, et al.. (2025). S, Se-Codoped Dual Carbon Coating and Se Substitution in Co-Alkoxide-Derived CoS2 Through SeS2 Triggered Selenization for High-Performance Sodium-Ion Batteries. Batteries. 11(1). 28–28. 1 indexed citations

Wang, Yu, et al.. (2025). Progress, challenges and future of linguistic neural decoding with deep learning. Communications Biology. 8(1). 1350–1350. 1 indexed citations

Wang, Ye, et al.. (2024). MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17709–17717. 6 indexed citations

Zhang, Yanli, Chang Shan, Xinxin Zhang, et al.. (2024). Cardiovascular adverse events associated with targeted therapies for multiple myeloma: a pharmacovigilance study. Frontiers in Immunology. 15. 1400101–1400101. 2 indexed citations

Wu, Chaoyi, et al.. (2024). RaTEScore: A Metric for Radiology Report Generation. 15004–15019. 5 indexed citations

Yang, Yuchen, et al.. (2024). DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics. 10231–10241.

Wang, Yanfeng, et al.. (2024). LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models. IEEE Transactions on Artificial Intelligence. 6(11). 2884–2895.

Ye, Rui, Wenhao Wang, Yuxiao Wang, et al.. (2024). FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18321–18337. 1 indexed citations

10.

Wu, Chaoyi, Xiaoman Zhang, Yuehua Li, et al.. (2024). Large-scale long-tailed disease diagnosis on radiology images. Nature Communications. 15(1). 10147–10147. 5 indexed citations

11.

Zhou, Wengang, et al.. (2024). Video Demoiréing With Deep Temporal Color Embedding and Video-Image Invertible Consistency. IEEE Transactions on Multimedia. 26. 7386–7397. 1 indexed citations

12.

Liao, Yusheng, Yanfeng Wang, & Yu Wang. (2024). Leveraging Diverse Modeling Contexts With Collaborating Learning for Neural Machine Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2100–2111. 1 indexed citations

13.

Li, Ziyi, et al.. (2023). Open-vocabulary Object Segmentation with Diffusion Models. 7633–7642. 18 indexed citations

14.

Li, Wen, Shuqin Dong, Changzhan Gu, et al.. (2023). Noncontact Infant Apnea Detection for Hypoxia Prevention With a K-Band Biomedical Radar. IEEE Transactions on Biomedical Engineering. 71(3). 1022–1032. 7 indexed citations

15.

Xu, Chenxin, et al.. (2023). Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning. Neural Networks. 170. 564–577. 24 indexed citations

16.

Wang, Yanfeng, et al.. (2023). Uncertainty-Guided End-to-End Audio-Visual Speaker Diarization for Far-Field Recordings. 4031–4041. 2 indexed citations

17.

Huang, Chaoqin, Qinwei Xu, Yanfeng Wang, Yu Wang, & Ya Zhang. (2022). Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. IEEE Transactions on Multimedia. 25. 4426–4438. 58 indexed citations

18.

Ju, Chen, Peisen Zhao, Siheng Chen, et al.. (2022). Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. IEEE Transactions on Multimedia. 25. 6688–6701. 9 indexed citations

19.

Ma, Chaofan, Xiangfeng Wang, Bo Jin, et al.. (2020). Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. IEEE Transactions on Medical Imaging. 40(10). 2563–2574. 14 indexed citations

20.

Wang, Tao, et al.. (2019). An Uncertainty-Incorporated Approach to Predict the Winner in StarCraft II Using Neural Processes. IEEE Access. 7. 101609–101619. 7 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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