Jin Ye

951 total citations · 1 hit paper
29 papers, 585 citations indexed

About

Jin Ye is a scholar working on Surgery, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Jin Ye has authored 29 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Neurology. Recurrent topics in Jin Ye's work include Tryptophan and brain disorders (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jin Ye is often cited by papers focused on Tryptophan and brain disorders (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jin Ye collaborates with scholars based in China, United States and United Kingdom. Jin Ye's co-authors include Chang-Jiang Yang, Yue Wang, Gehua Zhang, Haidi Yang, Peng Li, Hao Xiong, Peiliang Lin, Yuan Li, Huaifeng Liu and Xuebo Liu and has published in prestigious journals such as Bioinformatics, Journal of Agricultural and Food Chemistry and Food Research International.

In The Last Decade

Jin Ye

25 papers receiving 579 citations

Hit Papers

Prevalence of attention-deficit/hyperactivity disorder in... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Ye China 12 107 103 98 96 76 29 585
Fei Ji China 14 262 2.4× 30 0.3× 57 0.6× 216 2.3× 41 0.5× 69 732
Lujia Chen China 13 187 1.7× 63 0.6× 33 0.3× 148 1.5× 8 0.1× 29 732
Marina Mancini Italy 15 185 1.7× 62 0.6× 119 1.2× 153 1.6× 5 0.1× 28 765
Timothy J. Counihan Ireland 17 102 1.0× 61 0.6× 87 0.9× 268 2.8× 4 0.1× 45 1.0k
Renhua Wu China 13 57 0.5× 45 0.4× 52 0.5× 56 0.6× 4 0.1× 43 413
Marie-Ève Rivard Canada 10 98 0.9× 77 0.7× 43 0.4× 137 1.4× 4 0.1× 18 587
Ivan Zaletel Serbia 16 34 0.3× 80 0.8× 17 0.2× 95 1.0× 5 0.1× 34 546
Márton Kovács Hungary 14 73 0.7× 24 0.2× 97 1.0× 174 1.8× 5 0.1× 34 698
Rose Tobias Canada 15 77 0.7× 59 0.6× 68 0.7× 303 3.2× 6 0.1× 19 979
Manuel Delgado‐Alvarado Spain 15 118 1.1× 92 0.9× 95 1.0× 60 0.6× 2 0.0× 40 640

Countries citing papers authored by Jin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ye. A scholar is included among the top collaborators of Jin Ye 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 Jin Ye. Jin Ye 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
2.
Ren, Xiaoyu, Zhongying Deng, Jin Ye, Junjun He, & Dongxu Yang. (2025). FCN+: Global receptive convolution makes FCN great again. Neurocomputing. 631. 129655–129655. 2 indexed citations
3.
Ye, Jin, Renjie Shi, Xiaoning Wu, et al.. (2025). Stevioside mitigates metabolic dysregulation in offspring induced by maternal high-fat diet: the role of gut microbiota-driven thermogenesis. Gut Microbes. 17(1). 2452241–2452241. 2 indexed citations
4.
Ye, Jin, et al.. (2024). “Frisbee on football field”: the intergenerational conflict between two sports at grassroots level in China. The Journal of Chinese Sociology. 11(1). 2 indexed citations
5.
Su, Yanzhou, et al.. (2023). FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. Biomedical Signal Processing and Control. 83. 104699–104699. 13 indexed citations
6.
Ye, Jin, Padhraic Smyth, Richard H. Scheuermann, et al.. (2023). A cell-level discriminative neural network model for diagnosis of blood cancers. Bioinformatics. 39(10). 3 indexed citations
7.
Li, Yun, Wenxin Gu, Huijun Yue, et al.. (2023). Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data. Journal of Translational Medicine. 21(1). 698–698. 11 indexed citations
8.
Ye, Jin, Renjie Shi, Danna Wang, et al.. (2023). Stevioside Ameliorates Prenatal Obesity Induced Postpartum Depression: The Potential Role of Gut Barrier Homeostasis. Molecular Nutrition & Food Research. 68(13). e2300255–e2300255. 3 indexed citations
9.
Maksimov, Mikhail O., et al.. (2022). Mutation and selection processes regulating short tandem repeats give rise to genetic and phenotypic diversity across species. Journal of Evolutionary Biology. 36(2). 321–336. 32 indexed citations
10.
Li, Xiaolan, Xiang Zhang, Ming Hao, et al.. (2022). The application of collagen in the repair of peripheral nerve defect. Frontiers in Bioengineering and Biotechnology. 10. 973301–973301. 30 indexed citations
11.
Guo, Jian, et al.. (2022). Developing a Hybrid Risk Assessment Tool for Familial Hypercholesterolemia: A Machine Learning Study of Chinese Arteriosclerotic Cardiovascular Disease Patients. Frontiers in Cardiovascular Medicine. 9. 893986–893986. 3 indexed citations
12.
Tonsfeldt, Karen J., Jin‐Kwon Lee, Jin Ye, et al.. (2022). Female fertility does not require Bmal1 in suprachiasmatic nucleus neurons expressing arginine vasopressin, vasoactive intestinal peptide, or neuromedin-S. Frontiers in Endocrinology. 13. 956169–956169. 4 indexed citations
13.
Wang, Danna, Jianbin Wu, Renjie Shi, et al.. (2022). Tryptophan-rich diet ameliorates chronic unpredictable mild stress induced depression- and anxiety-like behavior in mice: The potential involvement of gut-brain axis. Food Research International. 157. 111289–111289. 73 indexed citations
14.
Xiong, Hao, Peiliang Lin, Jin-Gang Yu, et al.. (2019). Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images. EBioMedicine. 48. 92–99. 106 indexed citations
15.
Cai, Kaican, Yan Yan, Siyang Feng, et al.. (2015). Unidirectionally progressive resection of lower left lung carcinoma under video-associated thoracoscopy. ASVIDE. 2(1). 1 indexed citations
16.
Ye, Jin, Hui Liu, Peng Li, et al.. (2015). CD4+T-lymphocyte subsets in nonobese children with obstructive sleep apnea syndrome. Pediatric Research. 78(2). 165–173. 12 indexed citations
17.
Ye, Jin, et al.. (2012). Tumoral indoleamine 2,3-dioxygenase expression predicts poor outcome in laryngeal squamous cell carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 462(1). 73–81. 35 indexed citations
18.
Li, Peng, et al.. (2010). Intratympanic Methylprednisolone Improves Hearing Function in Refractory Sudden Sensorineural Hearing Loss: A Control Study. Audiology and Neurotology. 16(3). 198–202. 40 indexed citations
19.
Ye, Jin. (2006). Norm of the screen for child social anxiety related emotional disorders in Chinese urban children.. Chinese Journal of Child Health Care. 22 indexed citations
20.
Li, Yun, et al.. (1998). [Myopic regression after photorefractive keratectomy].. PubMed. 34(6). 451–3. 3 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