Fei Wu

21.0k total citations · 5 hit papers
494 papers, 11.3k citations indexed

About

Fei Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fei Wu has authored 494 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Artificial Intelligence, 215 papers in Computer Vision and Pattern Recognition and 66 papers in Information Systems. Recurrent topics in Fei Wu's work include Advanced Image and Video Retrieval Techniques (90 papers), Topic Modeling (70 papers) and Multimodal Machine Learning Applications (66 papers). Fei Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (90 papers), Topic Modeling (70 papers) and Multimodal Machine Learning Applications (66 papers). Fei Wu collaborates with scholars based in China, United States and Singapore. Fei Wu's co-authors include Yueting Zhuang, Daniel S. Weld, Yi Yang, Xi Li, Zhongfei Zhang, Zhenhui Li, Yunhe Pan, Jiwei Li, Daniel S. Weld and Siliang Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fei Wu

449 papers receiving 10.9k citations

Hit Papers

5 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.

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

2018 799 citations Fei Wu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

2016 391 citations Fei Wu, Yueting Zhuang et al. profile →
Dice Loss for Data-imbalanced NLP Tasks

2020 390 citations Xiaoya Li, Xiaofei Sun et al. profile →
Open Information Extraction Using Wikipedia

2010 339 citations Fei Wu et al. profile →
Dynamic Network Embedding by Modeling Triadic Closure Process

2018 294 citations Xiang Ren, Fei Wu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Countries citing papers authored by Fei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Fei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Wu

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

#	Work	Indexed citations
1	GPT-NER: Named Entity Recognition via Large Language Models 2025 ·Shuhe Wang, Xiaofei Sun, Xiaoya Li, (unknown), Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang, Guo Chen	9
2	Instruction Tuning for Large Language Models: A Survey 2025 ·ACM Computing Surveys ·Shengyu Zhang, (unknown), (unknown), (unknown), X. Sun, (unknown), (unknown), (unknown), Tianwei Zhang, (unknown), Fei Wu	3
3	Stepwise Attention-Guided Multiscale Fusion Network for Lightweight and High-Accurate SAR Ship Detection 2024 ·Remote Sensing ·Chunyuan Wang, (unknown), Fei Wu, Peng Cui, (unknown), Ye Zhang	2
4	LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild 2024 ·(unknown), (unknown), Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu	2
5	Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA–gene–disease networks 2024 ·Briefings in Bioinformatics ·(unknown), (unknown), (unknown), (unknown), Zhengxing Huang, Yingming Li, Ying Wei, Fei Wu, Yu‐Feng Yao	1
6	Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining 2024 ·Journal of Computer Assisted Learning ·Changqin Huang, Jianhui Yu, Fei Wu, Yi Wang, Nian‐Shing Chen	3
7	Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Zhen Peng, (unknown), Fei Wu, Kun Kuang	3
8	RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction 2023 ·Chengyuan Liu, (unknown), Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu	6
9	A Deep Learning-Based Lightweight Model for the Detection of Marine Fishes 2023 ·Journal of Marine Science and Engineering ·Fei Wu, Yitao Zhang, (unknown), (unknown), (unknown), (unknown)	3
10	Text Classification via Large Language Models 2023 ·Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang	74
11	Source-free and black-box domain adaptation via distributionally adversarial training 2023 ·Pattern Recognition ·Yucheng Shi, (unknown), Yahong Han, Yunfeng Shao, (unknown), Fei Wu	18
12	An online solution focused brief therapy for adolescent anxiety : A randomized controlled trial 2023 ·Asian Journal of Psychiatry ·(unknown), Yanwen Zhang, Diyang Qu, (unknown), Quan Yuan, (unknown), (unknown), Pei-yu Chen, Fei Wu, Runsen Chen	5
13	A knowledge-enhanced transform-based multimodal classifier for microbial keratitis identification 2023 ·Scientific Reports ·Jianfeng Wu, (unknown), (unknown), Zhengxing Huang, Yesheng Xu, (unknown), Fei Wu, Yu‐Feng Yao	6
14	Visual recognition technologies for complex scenarios analysis 2022 ·Journal of Image and Graphics ·Lizhuang Ma, Fei Wu, Qirong Mao, (unknown), Yulong Chen	1
15	Impact of COVID-19 on the Big Industrial Enterprises in Hebei, China: Grey Forecast Perspective 2022 ·(unknown), Fei Wu, Lifeng Wu	1
16	CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction 2021 ·Tao Chen, (unknown), Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang	38
17	De-Biased Court’s View Generation with Causality 2020 ·(unknown), Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu	54
18	Dice Loss for Data-imbalanced NLP Tasks breakdown → 2020 ·Xiaoya Li, Xiaofei Sun, Yuxian Meng, (unknown), Fei Wu, Jiwei Li	390
19	CorefQA: Coreference Resolution as Query-based Span Prediction 2020 ·Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li	86
20	Learning Dynamic Context Augmentation for Global Entity Linking 2019 ·(unknown), Xiaotao Gu, (unknown), Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren	35

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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