Cheng Jin

1.5k total citations
33 papers, 901 citations indexed

About

Cheng Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering. According to data from OpenAlex, Cheng Jin has authored 33 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 8 papers in Biomedical Engineering. Recurrent topics in Cheng Jin's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Advanced X-ray and CT Imaging (4 papers). Cheng Jin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Advanced X-ray and CT Imaging (4 papers). Cheng Jin collaborates with scholars based in China, United States and Hong Kong. Cheng Jin's co-authors include Jianjiang Feng, Jie Zhou, Lei Deng, Heshui Shi, Xin Zhang, Zimeng Tan, Chuansheng Zheng, Yukun Cao, Weixiang Chen and Zhanwei Xu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and British journal of surgery.

In The Last Decade

Cheng Jin

28 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Jin China 13 577 212 169 160 123 33 901
Qingxia Wu China 15 709 1.2× 218 1.0× 67 0.4× 146 0.9× 174 1.4× 42 1.1k
Vishwa S. Parekh United States 14 722 1.3× 252 1.2× 128 0.8× 154 1.0× 213 1.7× 39 942
Saikit Lam Hong Kong 17 488 0.8× 133 0.6× 40 0.2× 198 1.2× 143 1.2× 53 749
Lise Wei United States 13 627 1.1× 176 0.8× 117 0.7× 218 1.4× 197 1.6× 24 860
Benoît Schmauch France 8 448 0.8× 370 1.7× 126 0.7× 76 0.5× 35 0.3× 14 763
Roman Zeleznik United States 8 716 1.2× 271 1.3× 82 0.5× 399 2.5× 184 1.5× 15 892
Charlie Saillard France 6 433 0.8× 379 1.8× 146 0.9× 70 0.4× 32 0.3× 12 754
Jeong Hyun Lee South Korea 15 193 0.3× 48 0.2× 204 1.2× 190 1.2× 84 0.7× 59 791
Carlotta Masciocchi Italy 15 506 0.9× 94 0.4× 338 2.0× 154 1.0× 139 1.1× 47 869

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Jin. A scholar is included among the top collaborators of Cheng Jin 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 Cheng Jin. Cheng Jin 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.
Bi, Xinyuan, Xiaohang Qian, Bingsen Xue, et al.. (2025). Molecule-resolvable SERSome for metabolic profiling. Chem. 11(9). 102528–102528. 10 indexed citations
2.
Jin, Wenyi, Xiaoli Shan, Yubiao Zhang, et al.. (2025). Optimizing mitochondria function in immune cells: implications for cancer immunotherapy. Trends in cancer. 11(12). 1170–1184. 1 indexed citations
3.
Zhao, Ziyin, Qing Zhang, Midie Xu, et al.. (2025). Cell graph analysis in hepatocellular carcinoma: predicting local recurrence and identifying spatial relationship biomarkers. npj Precision Oncology. 9(1). 261–261.
4.
Wei, Shengcai, Yinli Zhang, Jingjing Cui, et al.. (2024). Prediction of transformation in the histopathological growth pattern of colorectal liver metastases after chemotherapy using CT-based radiomics. Clinical & Experimental Metastasis. 41(2). 143–154. 1 indexed citations
5.
Sun, Ke, Mingyang Li, Yiyu Shi, et al.. (2024). Convolutional neural network for identifying common bile duct stones based on magnetic resonance cholangiopancreatography. Clinical Radiology. 79(7). 553–558. 2 indexed citations
7.
Li, Haiyue, Jing Xie, Cheng Jin, et al.. (2023). CRCS: An automatic image processing pipeline for hormone level analysis of Cushing’s disease. Methods. 222. 28–40. 1 indexed citations
8.
Wang, Yiqing, Yuting Shi, Jie Feng, et al.. (2023). Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. IEEE Journal of Biomedical and Health Informatics. 28(2). 1012–1021. 6 indexed citations
9.
Jin, Cheng, et al.. (2023). Identification of BRAF, CCND1, and MYC mutations in a patient with multiple primary malignant tumors: a case report and review of the literature. World Journal of Surgical Oncology. 21(1). 158–158. 4 indexed citations
10.
Wu, Tianshu, Xinyu Wang, Cheng Jin, et al.. (2022). Nitrogen-doped graphene quantum dots induce ferroptosis through disrupting calcium homeostasis in microglia. Particle and Fibre Toxicology. 19(1). 22–22. 52 indexed citations
12.
Zhao, Deze, Mao Zhang, Chuan Hu, et al.. (2021). Alternative Splicing-Based Differences Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: Genes, Immune Microenvironment, and Survival Prognosis. Frontiers in Oncology. 11. 731993–731993. 7 indexed citations
13.
Jin, Cheng, Heng Yu, Jia Ke, et al.. (2021). Predicting treatment response from longitudinal images using multi-task deep learning. Nature Communications. 12(1). 1851–1851. 130 indexed citations
14.
Wang, Jun, Chen Liu, Lichi Zhang, et al.. (2021). iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. npj Digital Medicine. 4(1). 124–124. 11 indexed citations
15.
Jin, Cheng, Weixiang Chen, Yukun Cao, et al.. (2020). Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nature Communications. 11(1). 54–54. 342 indexed citations
17.
Yao, Xun, Caixia Sun, Fei Xiong, et al.. (2020). Radiomic signature-based nomogram to predict disease-free survival in stage II and III colon cancer. European Journal of Radiology. 131. 109205–109205. 14 indexed citations
19.
Chen, Datong, et al.. (2019). Coronary Calcium Detection Based on Improved Deep Residual Network in Mimics. Journal of Medical Systems. 43(5). 119–119. 9 indexed citations
20.
Jin, Cheng, Yi Zhang, & Jiping Li. (2016). Upregulation of MiR-196a promotes cell proliferation by downregulating p27kip1 in laryngeal cancer. Biological Research. 49(1). 40–40. 21 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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