Geng Chen

7.4k total citations · 8 hit papers
170 papers, 3.7k citations indexed

About

Geng Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Geng Chen has authored 170 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 50 papers in Computer Vision and Pattern Recognition and 26 papers in Artificial Intelligence. Recurrent topics in Geng Chen's work include Advanced Neuroimaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (25 papers) and MRI in cancer diagnosis (17 papers). Geng Chen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (25 papers) and MRI in cancer diagnosis (17 papers). Geng Chen collaborates with scholars based in China, United States and South Korea. Geng Chen's co-authors include Ling Shao, Huazhu Fu, Jianbing Shen, Tao Zhou, Ge-Peng Ji, Hongjing Wu, Limin Zhang, Deng-Ping Fan, Yi Zhou and Dinggang Shen and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Geng Chen

150 papers receiving 3.6k citations

Hit Papers

Inf-Net: Automatic COVID-19 Lung Infection Segmentation F... 2018 2026 2020 2023 2020 2020 2018 2021 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geng Chen China 25 1.4k 1.2k 748 675 617 170 3.7k
Aimin Hao China 37 491 0.4× 1.5k 1.3× 769 1.0× 501 0.7× 225 0.4× 286 4.9k
Fabrice Mériaudeau France 39 2.5k 1.8× 1.9k 1.7× 96 0.1× 689 1.0× 202 0.3× 249 5.6k
Ming Yin China 32 194 0.1× 1.4k 1.2× 178 0.2× 522 0.8× 307 0.5× 196 4.4k
Xubo Song China 22 279 0.2× 1.2k 1.0× 765 1.0× 82 0.1× 816 1.3× 73 3.5k
Shin Nakajima Japan 19 1.1k 0.8× 1.3k 1.2× 54 0.1× 182 0.3× 219 0.4× 97 3.3k
Ying Wei China 23 709 0.5× 191 0.2× 140 0.2× 363 0.5× 87 0.1× 104 1.9k
Qun Zhao United States 27 371 0.3× 179 0.2× 133 0.2× 162 0.2× 465 0.8× 101 2.7k
Minhua Lu China 23 324 0.2× 191 0.2× 482 0.6× 179 0.3× 96 0.2× 142 2.0k
Tianyu Xiang China 18 120 0.1× 602 0.5× 200 0.3× 232 0.3× 209 0.3× 103 2.0k
Yuanjin Zheng Singapore 45 524 0.4× 264 0.2× 446 0.6× 178 0.3× 715 1.2× 464 8.0k

Countries citing papers authored by Geng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Geng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Chen. A scholar is included among the top collaborators of Geng 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 Geng Chen. Geng 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, Geng, et al.. (2025). Dynamic reconfiguration of distribution network considering typical wind −Solar-Load joint scenarios. International Journal of Electrical Power & Energy Systems. 172. 111121–111121. 1 indexed citations
2.
Gong, Wei, Jing Zeng, Wei Chen, et al.. (2025). Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology. BMC Cancer. 25(1). 10–10. 3 indexed citations
3.
Chen, Geng, et al.. (2025). Bridging the Semantic Gap in Medical Visual Question Answering With Prompt Learning. IEEE Transactions on Medical Imaging. 44(11). 4605–4616. 1 indexed citations
4.
Chen, Geng, et al.. (2025). Super-resolution reconstruction of off-axis digital holography based on Real-ESRGAN. Applied Optics. 64(9). 2245–2245.
5.
Chen, Geng, et al.. (2025). Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. IEEE Transactions on Medical Imaging. PP. 1–1.
6.
Zhang, Yimei, Tao Du, Jiahui Zhang, et al.. (2025). Efficient and Robust Europium(III)‐Based Hybrid Lanthanide Scintillators for Advanced X‐Ray Imaging. Angewandte Chemie International Edition. 64(13). e202423155–e202423155. 16 indexed citations
7.
Chen, Jian, et al.. (2025). MAFF-Net: PCB defect detection via feature-enhancement fusion. Measurement Science and Technology. 36(2). 26137–26137. 1 indexed citations
8.
Zhao, Li, et al.. (2024). A novel non-pretrained deep supervision network for polyp segmentation. Pattern Recognition. 154. 110554–110554. 9 indexed citations
9.
Ma, Benteng, et al.. (2023). Federated adaptive reweighting for medical image classification. Pattern Recognition. 144. 109880–109880. 9 indexed citations
10.
He, Jiang, Qin Liu, Geng Chen, et al.. (2023). Hierarchical cumulative network for unsupervised medical image registration. Computers in Biology and Medicine. 167. 107598–107598. 4 indexed citations
11.
Liang, Hongsheng, Geng Chen, Dong Liu, et al.. (2023). Exploring the Ni 3d Orbital Unpaired Electrons Induced Polarization Loss Based on Ni Single‐Atoms Model Absorber (Adv. Funct. Mater. 7/2023). Advanced Functional Materials. 33(7). 31 indexed citations
12.
Wu, Yuanfeng, et al.. (2023). Dichotomous Image Segmentation with Frequency Priors. 1822–1830. 9 indexed citations
13.
Chen, Geng, Jie Qin, Boulbaba Ben Amor, et al.. (2023). Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Transactions on Medical Imaging. 42(11). 3194–3204. 3 indexed citations
14.
Chen, Geng, Hongsheng Liang, Jijun Yun, et al.. (2023). Ultrasonic Field Induces Better Crystallinity and Abundant Defects at Grain Boundaries to Develop CuS Electromagnetic Wave Absorber. Advanced Materials. 35(49). e2305586–e2305586. 109 indexed citations breakdown →
15.
Dong, Bo, et al.. (2021). Marine Animal Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 2303–2314. 37 indexed citations
16.
Ji, Ge-Peng, Deng-Ping Fan, Tao Zhou, et al.. (2020). Automatic Polyp Segmentation via Parallel Reverse Attention Network.. MediaEval. 1 indexed citations
17.
Chen, Geng, Dehui Xiang, Bin Zhang, et al.. (2019). Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition. IEEE Transactions on Medical Imaging. 38(7). 1736–1749. 31 indexed citations
18.
Yang, Jing, Geng Chen, Hailin Wang, Jiansong Ji, & Yakang Dai. (2019). Classification on histological subtypes of lung adenocarcinoma from low-resolution CT images based on DenseNet. Journal of ZheJiang University (Engineering Science). 53(6). 1164–1170. 1 indexed citations
19.
Wang, Hao, et al.. (2016). Preliminary study on a new method of GCRV artificial infection.. Acta Hydrobiologica Sinica. 40(6). 1166–1171. 5 indexed citations
20.
Wang, Jiacai, et al.. (2010). Affinity Propagation Clustering for Large Scale Dataset. Jisuanji gongcheng. 36(23). 22–24. 4 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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