Lingfei Wu

5.2k citations

104 papers · 1.9k · 2 hit papers · h-index 25

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
Information Systems top 1%
- Recommender Systems and Techniques
- Software Engineering Research

Papers in

Artificial Intelligence 73
- Topic Modeling 39
- Advanced Graph Neural Networks 28
- Natural Language Processing Techniques 22
- Anomaly Detection Techniques and Applications 7
Information Systems 27
- Web Data Mining and Analysis 8
- Software Engineering Research 7
- Recommender Systems and Techniques 7

Co-authors: Heng Ji (2 shared papers)Ying Lin (1 shared paper)Fei Huang (1 shared paper)Jian Pei (7 shared papers)Fangli Xu (15 shared papers)Tengfei Ma (13 shared papers)Yu Chen (3 shared papers)Liang Zhao (7 shared papers)
Journals: IEEE Transactions on Neural Networks and Learning Systems (5 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)AI Magazine (2 papers)SIAM Journal on Scientific Computing (2 papers)IEEE Transactions on Big Data (2 papers)
Partner nations: United States China Canada

In The Last Decade

Lingfei Wu

99 papers receiving 1.9k citations

Lingfei Wu's Hit Papers

align trajectories log scale

Graph Neural Networks for Natural Language Processing: A Survey 2023 · 146 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Graph Neural Networks for Natural Language Processing: A Survey
2020 A Joint Neural Model for Information Extraction with Global Features

Peers

Countries citing papers authored by Lingfei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lingfei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingfei Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingfei Wu Line = papers co-authored together Lingfei Wu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Joint Neural Model for Information Extraction with Global Features Ying Lin, Heng Ji, Fei Huang, Lingfei Wu Hit paper breakdown →	2020	230
2	Graph Neural Networks for Natural Language Processing: A Survey Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long Hit paper breakdown →	2023	146
3	Graph Neural Networks: Foundation, Frontiers and Applications Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo	2022	106
4	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation arXiv (Cornell University) ·Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei	2022	80
5	Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art Computers & Security ·Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Yaguan Qian, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu	2023	57
6	Deep Graph Matching and Searching for Semantic Code Retrieval ACM Transactions on Knowledge Discovery from Data ·Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji	2021	55
7	Multilevel Graph Matching Networks for Deep Graph Similarity Learning IEEE Transactions on Neural Networks and Learning Systems ·Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji	2021	52
8	Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks ACM Transactions on Computer-Human Interaction ·April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael Müller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan	2022	51
9	Word Mover’s Embedding: From Word2Vec to Document Embedding ResearchSpace (University of Auckland) ·Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin‐Yu Chen, Pradeep Ravikumar, Michael Witbrock	2018	50
10	SQL-to-Text Generation with Graph-to-Sequence Model Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin	2018	43
11	Graph Adversarial Attack via Rewiring Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang	2021	43
12	Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin	2018	42
13	Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong	2020	39
14	Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation Proceedings of the ACM Web Conference 2022 ·Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei	2022	38
15	A similarity metric method of obfuscated malware using function-call graph Journal of Computer Virology and Hacking Techniques ·Ming Xu, Lingfei Wu, Shuhui Qi, Jian Xu, Haiping Zhang, Yizhi Ren, Ning Zheng	2013	35
16	PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations SIAM Journal on Scientific Computing ·Lingfei Wu, Eloy Romero, Andreas Stathopoulos	2017	34
17	Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji	2020	33
18	Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks IEEE Transactions on Neural Networks and Learning Systems ·Yu Chen, Lingfei Wu, Mohammed J. Zaki	2023	32
19	T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Proceedings of the AAAI Conference on Artificial Intelligence ·Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu	2023	32
20	Similarity Preserving Representation Learning for Time Series Clustering Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon	2019	32

About Lingfei Wu

Lingfei Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Advanced Graph Neural Networks (28 papers), Natural Language Processing Techniques (22 papers), Web Data Mining and Analysis (8 papers), Anomaly Detection Techniques and Applications (7 papers), Multimodal Machine Learning Applications (7 papers), Software Engineering Research (7 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Information Systems (475 citations), Signal Processing (214 citations), Computer Vision and Pattern Recognition (299 citations) and Software (47 citations). Lingfei Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Heng Ji, Ying Lin, Fei Huang, Jian Pei, Fangli Xu, Tengfei Ma, Yu Chen, Liang Zhao, Shouling Ji and Xiaojie Guo. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, AI Magazine, SIAM Journal on Scientific Computing and IEEE Transactions on Big Data.

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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Lingfei Wu

Impact in

Papers in i

In The Last Decade

Lingfei Wu

Lingfei Wu's Hit Papers

Peers

Countries citing papers authored by Lingfei Wu

Fields of papers citing papers by Lingfei Wu

All Works

About Lingfei Wu

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