Hechang Chen

1.1k total citations
59 papers, 652 citations indexed

About

Hechang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Hechang Chen has authored 59 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Hechang Chen's work include Reinforcement Learning in Robotics (8 papers), Advanced Graph Neural Networks (8 papers) and Complex Network Analysis Techniques (8 papers). Hechang Chen is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Graph Neural Networks (8 papers) and Complex Network Analysis Techniques (8 papers). Hechang Chen collaborates with scholars based in China, United States and Singapore. Hechang Chen's co-authors include Yi Chang, Bo Yang, Jiming Liu, Hongbin Pei, Haiyin Piao, Zhiwei Yang, Jing Ma, Guanglei Meng, Jiawei Zhang and Lifang He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hechang Chen

51 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hechang Chen China	14	333	140	111	87	53	59	652
Faruk Polat Türkiye	12	242 0.7×	195 1.4×	127 1.1×	78 0.9×	95 1.8×	77	625
Abdul Majeed South Korea	19	390 1.2×	153 1.1×	102 0.9×	140 1.6×	141 2.7×	76	1.0k
Gleb Gusev Russia	14	163 0.5×	188 1.3×	57 0.5×	105 1.2×	39 0.7×	54	639
Jiaxing Shang China	16	283 0.8×	83 0.6×	61 0.5×	152 1.7×	175 3.3×	68	818
João P. Vilela Portugal	13	342 1.0×	94 0.7×	40 0.4×	131 1.5×	415 7.8×	65	827
Feng Pan China	15	482 1.4×	121 0.9×	33 0.3×	152 1.7×	203 3.8×	62	765

Countries citing papers authored by Hechang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Hechang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hechang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hechang Chen. A scholar is included among the top collaborators of Hechang 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 Hechang Chen. Hechang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yu, Bo, et al.. (2025). A Flexible Diffusion Convolution for Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3118–3131. 2 indexed citations

Chen, Hechang, et al.. (2024). A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Systems with Applications. 245. 123158–123158. 6 indexed citations

Chen, Hechang, et al.. (2024). Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9136–9149.

Yu, Xiangchun, et al.. (2024). Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation. Expert Systems with Applications. 262. 125670–125670. 5 indexed citations

Yang, Zhiwei, et al.. (2024). CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. Information Processing & Management. 61(3). 103657–103657. 2 indexed citations

Yang, Zhiwei, et al.. (2024). Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition. Knowledge-Based Systems. 296. 111762–111762. 4 indexed citations

Wang, Dingmin, et al.. (2024). Contextual Distillation Model for Diversified Recommendation. arXiv (Cornell University). 5307–5316. 6 indexed citations

Piao, Haiyin, et al.. (2024). Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning. ACM Transactions on Intelligent Systems and Technology. 15(4). 1–28.

Yu, Bo, Peng Yin, Hechang Chen, et al.. (2023). Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear. Knowledge-Based Systems. 275. 110721–110721. 4 indexed citations

10.

Chen, Hechang, et al.. (2023). Generalized multi-agent competitive reinforcement learning with differential augmentation. Expert Systems with Applications. 238. 121760–121760. 3 indexed citations

11.

Yu, Bo, et al.. (2023). Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history. Expert Systems with Applications. 224. 119965–119965. 16 indexed citations

12.

Chen, Hechang, et al.. (2023). HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Information Sciences. 640. 119065–119065. 9 indexed citations

13.

Zou, Lixin, et al.. (2023). Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. 36(3). 1299–1310. 9 indexed citations

14.

Chen, Hechang, et al.. (2023). An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. Expert Systems with Applications. 237. 121379–121379. 6 indexed citations

15.

Yang, Zhiwei, Jing Ma, Hechang Chen, Jiawei Zhang, & Yi Chang. (2022). Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 973–984. 37 indexed citations

16.

Yang, Zhiwei, et al.. (2021). HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. 124–132. 7 indexed citations

17.

Yu, Xiangchun, Zhe Zhang, Lei Wu, et al.. (2020). Deep Ensemble Learning for Human Action Recognition in Still Images. Complexity. 2020. 1–23. 43 indexed citations

18.

Liu, Dayou, et al.. (2019). Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access. 7. 53667–53676. 4 indexed citations

19.

Liu, Dayou, et al.. (2017). Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access. 6. 4750–4758. 3 indexed citations

20.

Yang, Bo, et al.. (2016). IASM: A System for the Intelligent Active Surveillance of Malaria. Computational and Mathematical Methods in Medicine. 2016. 1–11. 2 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

Breakdown of academic impact, for papers by Faruk Polat Breakdown of academic impact, for papers by Abdul Majeed Breakdown of academic impact, for papers by Gleb Gusev Breakdown of academic impact, for papers by Jiaxing Shang Breakdown of academic impact, for papers by João P. Vilela Breakdown of academic impact, for papers by Feng Pan