Haoyuan Chen

1.2k total citations · 2 hit papers
25 papers, 813 citations indexed

About

Haoyuan Chen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Haoyuan Chen has authored 25 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Haoyuan Chen's work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Colorectal Cancer Screening and Detection (5 papers). Haoyuan Chen is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Colorectal Cancer Screening and Detection (5 papers). Haoyuan Chen collaborates with scholars based in China, Germany and United States. Haoyuan Chen's co-authors include Chen Li, Marcin Grzegorzek, Hongzan Sun, Weiming Hu, Md Mamunur Rahaman, Changhao Sun, Wanli Liu, Xiaoyan Li, Yudong Yao and Yixin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Artificial Intelligence Review.

In The Last Decade

Haoyuan Chen

24 papers receiving 803 citations

Hit Papers

GasHis-Transformer: A mul... 2022 2026 2023 2024 2022 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoyuan Chen China 14 506 327 253 110 78 25 813
Ali Mohammad Alqudah Jordan 21 418 0.8× 415 1.3× 242 1.0× 162 1.5× 129 1.7× 64 1.2k
Sen Yang China 16 657 1.3× 493 1.5× 371 1.5× 115 1.0× 76 1.0× 57 1.2k
John Arévalo Colombia 13 705 1.4× 483 1.5× 367 1.5× 121 1.1× 59 0.8× 30 1.0k
Changhao Sun China 13 639 1.3× 423 1.3× 405 1.6× 134 1.2× 88 1.1× 23 1.0k
Veronika Cheplygina Netherlands 14 593 1.2× 381 1.2× 464 1.8× 85 0.8× 111 1.4× 24 1.3k
Vivek Kumar Singh United States 16 356 0.7× 274 0.8× 225 0.9× 96 0.9× 76 1.0× 45 688
Wanli Liu China 11 378 0.7× 209 0.6× 202 0.8× 59 0.5× 61 0.8× 23 632
Frank Kulwa China 11 451 0.9× 338 1.0× 212 0.8× 48 0.4× 94 1.2× 25 765
Adrián Colomer Spain 16 323 0.6× 440 1.3× 293 1.2× 114 1.0× 100 1.3× 56 796
Dimitris Glotsos Greece 16 424 0.8× 321 1.0× 219 0.9× 69 0.6× 88 1.1× 73 868

Countries citing papers authored by Haoyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haoyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyuan Chen. A scholar is included among the top collaborators of Haoyuan 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 Haoyuan Chen. Haoyuan 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, Haoyuan, et al.. (2024). Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. Journal of Artificial Intelligence Research. 81. 481–509. 1 indexed citations
2.
Chen, Haoyuan, et al.. (2024). Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model. Frontiers in Artificial Intelligence. 7. 1404940–1404940. 2 indexed citations
3.
Chen, Haoyuan, Xiaoqi Li, Chen Li, et al.. (2024). What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. Artificial Intelligence Review. 57(3). 1 indexed citations
4.
Chen, Haoyuan, et al.. (2024). Chaotic Fuzzy Logic for Enhanced Educational Q&A System. 604–608.
5.
Wu, Xiangchen, Changzhong Li, Changzhong Li, et al.. (2023). CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Computers in Biology and Medicine. 162. 107070–107070. 38 indexed citations
6.
Li, Xiaoyan, Weiming Hu, Haoyuan Chen, et al.. (2023). EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks. Frontiers in Medicine. 10. 1114673–1114673. 15 indexed citations
7.
Hu, Weiming, Chen Li, Md Mamunur Rahaman, et al.. (2023). EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation. Physica Medica. 107. 102534–102534. 22 indexed citations
8.
Li, Chen, Jingyu Zhang, Haoyuan Chen, et al.. (2023). Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. 6. 4397–4405. 1 indexed citations
9.
Li, Chen, Jinzhu Yang, Yudong Yao, et al.. (2023). OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Computers in Biology and Medicine. 167. 107620–107620. 16 indexed citations
10.
Chen, Haoyuan, et al.. (2023). Improving DFU Image Classification by an Adaptive Augmentation Pool and Voting with Expertise. 196–202. 3 indexed citations
11.
Chen, Haoyuan, et al.. (2022). Disease prediction based on multi-type data fusion from Chinese electronic health record. Mathematical Biosciences & Engineering. 19(12). 13732–13746. 5 indexed citations
12.
Zhang, Haiqing, Chen Li, Shiliang Ai, et al.. (2022). Application of graph-based features in computer-aided diagnosis for histopathological image classification of gastric cancer. 8. 15–15. 1 indexed citations
13.
Hu, Weiming, Chen Li, Xiaoyan Li, et al.. (2022). GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Computers in Biology and Medicine. 142. 105207–105207. 67 indexed citations
14.
Chen, Haoyuan, Chen Li, Xiaoyan Li, et al.. (2022). IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Computers in Biology and Medicine. 143. 105265–105265. 101 indexed citations
15.
Li, Xiaoqi, Haoyuan Chen, Chen Li, et al.. (2022). What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. arXiv (Cornell University). 3 indexed citations
16.
Zheng, Yu, Chen Li, Xiaomin Zhou, et al.. (2022). Application of transfer learning and ensemble learning in image-level classification for breast histopathology. SHILAP Revista de lepidopterología. 3(2). 115–128. 49 indexed citations
17.
Hu, Weiming, Haoyuan Chen, Wanli Liu, et al.. (2022). A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer. Frontiers in Medicine. 9. 1072109–1072109. 15 indexed citations
19.
Zhu, Kening, Xiaojuan Ma, Haoyuan Chen, & Miaoyin Liang. (2016). Tripartite Effects: Exploring Users’ Mental Model of Mobile Gestures under the Influence of Operation, Handheld Posture, and Interaction Space. International Journal of Human-Computer Interaction. 33(6). 443–459. 18 indexed citations
20.
Gallicchio, Emilio, Haoyuan Chen, Michael Fitzgerald, et al.. (2015). BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge. Journal of Computer-Aided Molecular Design. 29(4). 315–325. 16 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.

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