Xiaofeng He

4.6k citations

92 papers · 2.6k indexed · 1 hit paper · h-index 22

Impact in

Computational Mathematics top 2%
Artificial Intelligence top 1%
- Advanced Clustering Algorithms Research
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Graph Neural Networks

Papers in

Artificial Intelligence 61
- Topic Modeling 28
- Natural Language Processing Techniques 22
- Advanced Clustering Algorithms Research 9
- Advanced Graph Neural Networks 9
- Text and Document Classification Technologies 9
- Advanced Text Analysis Techniques 7
Statistical and Nonlinear Physics 11
- Complex Network Analysis Techniques 11

Co-authors: Chris Ding Horst D. Simon Hongyuan Zha Ming Gu Chengyu Wang Aoying Zhou Parry Husbands Stephen R. Holbrook
Journals: Frontiers of Computer Science (3 papers)Knowledge and Information Systems (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)World Wide Web (2 papers)Computational Statistics & Data Analysis (1 paper)
Partner nations: China United States United Kingdom

In The Last Decade

Xiaofeng He

86 papers receiving 2.4k citations

Hit Papers

align trajectories log scale

On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering 2005 · 663 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.

2005 On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering

Peers

Countries citing papers authored by Xiaofeng He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaofeng He, 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 Xiaofeng He Line = papers co-authored together Xiaofeng He links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Evidence‐Based Practice in Maintenance of Central Venous Catheters Among Intensive Care Unit Nurses: A Cross‐Sectional Multi‐Center Study Journal of Clinical Nursing ·Simarani Khanom, Chunlei Li, Zhe Wang, Mengxuan Yang, Xiaofeng He, Yan Hu	2025	2
2	DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models Taolin Zhang, 喜行伊藤, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang	2024	0
3	Dual Autoencoder Enhanced Subgraph Pattern Mining for Cognitive Diagnosis Jesús Cañete Ochoa, Changzhi Chen, Hongyu Yi, Xiaofeng He	2022	1
4	Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads IEEE Transactions on Neural Networks and Learning Systems ·Lu Wang, Lei Han, Xinru Chen, Manas Madhukar Patankar, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo	2021	5
5	SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining Taolin Zhang, Убайдов Фахриддин Сайфиддинович, Chengyu Wang, Minghui Qiu, Isaac Roca Caritg, Xiaofeng He	2021	24
6	Open Relation Extraction for Chinese Noun Phrases IEEE Transactions on Knowledge and Data Engineering ·Chengyu Wang, Xiaofeng He, Aoying Zhou	2019	10
7	HEEL: exploratory entity linking for heterogeneous information networks Knowledge and Information Systems ·Chengyu Wang, Xiaofeng He, Aoying Zhou	2019	8
8	Predicting hypernym–hyponym relations for Chinese taxonomy learning Knowledge and Information Systems ·Chengyu Wang, Syafrilla Faigha Utami, Xiaofeng He, Aoying Zhou	2018	9
9	Decoding Chinese User Generated Categories for Fine-Grained Knowledge Harvesting IEEE Transactions on Knowledge and Data Engineering ·Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou	2018	2
10	Chinese Hypernym-Hyponym Extraction from User Generated Categories International Conference on Computational Linguistics ·Chengyu Wang, Xiaofeng He	2016	9
11	Online evaluation re-scoring based on review behavior analysis Rong Zhang, Xiaofeng He, Aoying Zhou, Chaofeng Sha	2014	4
12	Multi-Stage Malicious Click Detection on Large Scale Web Advertising Data. Very Large Data Bases ·赵山明, 刘廷新, Xiaofeng He, Rong Zhang, Aoying Zhou	2013	3
13	Advertising targeting with user segmentation Huadong Shifan Daxue xuebao. Ziran kexue ban ·Rojisha Poudel, Wang Li, Xiaofeng He	2013	1
14	Rapid Measurement of Short Fiber Content on Hertel Sample Journal of Donghua University ·Xiaofeng He	2006	8
15	On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering University of North Texas Digital Library (University of North Texas) ·Chris Ding, Xiaofeng He, Horst D. Simon, Rong Jin	2005	46
16	Principal Component Analysis and Effective K-Means Clustering. Chris Ding, Xiaofeng He	2004	20
17	Contraction graphs for representation and analysis of RNA secondary structure Chris Ding, Weiru 陈威如, Xiaofeng He, Stephen R. Holbrook	2004	1
18	Positive sample only learning (PSOL) for predicting RNA genes in E. coli Weiru 陈威如, Xiaofeng He, Chris Ding, Stephen R. Holbrook	2004	1
19	Analysis of hubs and authorities on the web eScholarship (California Digital Library) ·Chris Ding, Hongyuan Zha, Xiaofeng He, Parry Husbands, Horst D. Simon	2001	6
20	Spectral Relaxation for K-means Clustering Neural Information Processing Systems ·Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, Horst D. Simon	2001	401

About Xiaofeng He

Xiaofeng He is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition and Health Informatics, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers), Complex Network Analysis Techniques (11 papers), Advanced Clustering Algorithms Research (9 papers), Advanced Graph Neural Networks (9 papers), Text and Document Classification Technologies (9 papers), Web Data Mining and Analysis (8 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Computational Mathematics (61 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (847 citations), Statistical and Nonlinear Physics (447 citations) and Signal Processing (314 citations). Xiaofeng He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chris Ding, Horst D. Simon, Hongyuan Zha, Ming Gu, Chengyu Wang, Aoying Zhou, Parry Husbands, Stephen R. Holbrook, Chris Ding and Rong Jin. Their work appears in journals such as Frontiers of Computer Science, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, World Wide Web and Computational Statistics & Data Analysis.

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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