Huajun Chen

8.3k total citations · 3 hit papers
206 papers, 3.7k citations indexed

About

Huajun Chen is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Huajun Chen has authored 206 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 44 papers in Information Systems and 37 papers in Computer Networks and Communications. Recurrent topics in Huajun Chen's work include Topic Modeling (75 papers), Natural Language Processing Techniques (43 papers) and Semantic Web and Ontologies (42 papers). Huajun Chen is often cited by papers focused on Topic Modeling (75 papers), Natural Language Processing Techniques (43 papers) and Semantic Web and Ontologies (42 papers). Huajun Chen collaborates with scholars based in China, United States and United Kingdom. Huajun Chen's co-authors include Ningyu Zhang, Shumin Deng, Jiaoyan Chen, Chuanqi Tan, Fei Huang, Jeff Z. Pan, Zhaohui Wu, Xiaohui Fan, Luo Si and Mingyang Chen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Proceedings of the IEEE.

In The Last Decade

Huajun Chen

198 papers receiving 3.6k citations

Hit Papers

KnowPrompt: Knowledge-aware Prompt-tuning with Synergisti... 2022 2026 2023 2024 2022 2023 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huajun Chen China 33 2.3k 636 580 447 338 206 3.7k
D. Sculley United States 21 1.7k 0.8× 343 0.5× 940 1.6× 641 1.4× 453 1.3× 37 3.4k
Ce Zhang Switzerland 28 2.0k 0.9× 289 0.5× 546 0.9× 545 1.2× 495 1.5× 103 3.3k
Yuxiao Dong China 29 3.7k 1.6× 677 1.1× 1.6k 2.7× 756 1.7× 575 1.7× 115 5.7k
Naomie Salim Malaysia 31 2.2k 0.9× 502 0.8× 1.1k 1.8× 253 0.6× 215 0.6× 213 4.1k
Shengding Hu China 7 2.3k 1.0× 497 0.8× 577 1.0× 767 1.7× 460 1.4× 17 4.6k
Jiuyong Li Australia 38 2.2k 1.0× 1.6k 2.6× 717 1.2× 330 0.7× 298 0.9× 238 5.8k
Ganqu Cui China 8 2.0k 0.9× 465 0.7× 532 0.9× 677 1.5× 431 1.3× 20 4.2k
Zhengyan Zhang China 16 2.7k 1.2× 528 0.8× 597 1.0× 847 1.9× 486 1.4× 35 4.9k
Xiang Ren United States 35 4.1k 1.8× 528 0.8× 767 1.3× 826 1.8× 174 0.5× 177 5.0k
Di Jin China 33 2.3k 1.0× 414 0.7× 595 1.0× 537 1.2× 446 1.3× 228 4.0k

Countries citing papers authored by Huajun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huajun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huajun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huajun Chen. A scholar is included among the top collaborators of Huajun Chen 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 Huajun Chen. Huajun Chen 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.
Chen, Zhuo, Yichi Zhang, Yuxia Geng, et al.. (2025). Knowledge Graphs for Multi-modal Learning: Survey and Perspective. Information Fusion. 121. 103124–103124. 5 indexed citations
2.
Qiao, Shuofei, et al.. (2025). LightThinker: Thinking Step-by-Step Compression. 13318–13339.
3.
Wang, Xiaohan, Jing Chen, Shuofei Qiao, et al.. (2024). LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web. 27(5). 73 indexed citations breakdown →
4.
Zhang, Ningyu, Ziwen Xu, Shuofei Qiao, et al.. (2024). EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. 94–106.
5.
Wang, Mengru, Ningyu Zhang, Ziwen Xu, et al.. (2024). Detoxifying Large Language Models via Knowledge Editing. 3093–3118. 6 indexed citations
6.
Wang, Xiaohan, Shumin Deng, Yunzhi Yao, et al.. (2024). Editing Conceptual Knowledge for Large Language Models. 706–724. 4 indexed citations
7.
Wang, Mengru, Yunzhi Yao, Ziwen Xu, et al.. (2024). Knowledge Mechanisms in Large Language Models: A Survey and Perspective. 7097–7135. 1 indexed citations
8.
Qiao, Shuofei, et al.. (2024). AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. 3003–3021. 12 indexed citations
9.
Ye, Hongbin, et al.. (2024). IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. 127–146. 1 indexed citations
10.
Chen, Mingyang, et al.. (2023). Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. 6574–6582. 8 indexed citations
11.
Ye, Hongbin, et al.. (2023). Schema-adaptable Knowledge Graph Construction. 6408–6431. 2 indexed citations
12.
Qiao, Shuofei, Ningyu Zhang, Xiang Chen, et al.. (2023). Reasoning with Language Model Prompting: A Survey. 5368–5393. 61 indexed citations
13.
Cui, Jiyu, Fang Wu, Lifeng Yang, et al.. (2023). Direct prediction of gas adsorption via spatial atom interaction learning. Nature Communications. 14(1). 7043–7043. 30 indexed citations
14.
Chen, Mingyang, et al.. (2023). NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. 3140–3144. 1 indexed citations
15.
Ye, Hongbin, Ningyu Zhang, Hui Chen, & Huajun Chen. (2022). Generative Knowledge Graph Construction: A Review. 1–17. 28 indexed citations
16.
Liao, Jie, Jingyang Qian, Fang Yin, et al.. (2022). De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. Nature Communications. 13(1). 6498–6498. 48 indexed citations
17.
Shao, Xin, Haihong Yang, Xiang Zhuang, et al.. (2021). scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Research. 49(21). e122–e122. 97 indexed citations
18.
Deng, Shumin, et al.. (2021). MLBiNet: A Cross-Sentence Collective Event Detection Network. 4829–4839. 33 indexed citations
19.
Zhang, Ningyu, Shumin Deng, Juan Li, et al.. (2020). Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. 15–24. 12 indexed citations
20.
Chen, Huajun, et al.. (2016). Forecasting smog-related health hazard based on social media and physical sensor. Information Systems. 64. 281–291. 52 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026