Bicheng Ye

606 total citations · 2 hit papers
18 papers, 313 citations indexed

About

Bicheng Ye is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Bicheng Ye has authored 18 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Bicheng Ye's work include Cancer Immunotherapy and Biomarkers (8 papers), Ferroptosis and cancer prognosis (7 papers) and Cancer Genomics and Diagnostics (6 papers). Bicheng Ye is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Ferroptosis and cancer prognosis (7 papers) and Cancer Genomics and Diagnostics (6 papers). Bicheng Ye collaborates with scholars based in China and Hong Kong. Bicheng Ye's co-authors include Songyun Zhao, Jinhui Liu, Chao Cheng, Pengpeng Zhang, Jianfeng Shao, Lanyu Wang, Aimin Jiang, Jiaheng Xie, Hao Chi and Changcheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Bicheng Ye

15 papers receiving 308 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Crosstalk of disulfidptosis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in bladder cancer based on a machine learning survival framework

2023 94 citations Songyun Zhao, Lanyu Wang et al. Frontiers in Endocrinology profile →
iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response prediction

2025 57 citations Bicheng Ye, Jun Fan et al. iMeta profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bicheng Ye China	10	177	147	108	106	78	18	313
Kaikai Zhao China	10	222 1.3×	173 1.2×	146 1.4×	108 1.0×	67 0.9×	27	420
Anna Tanoglidi Sweden	7	318 1.8×	111 0.8×	148 1.4×	115 1.1×	75 1.0×	9	476
Teming Zhang China	6	135 0.8×	114 0.8×	89 0.8×	160 1.5×	110 1.4×	10	324
Archana Sehrawat United States	8	195 1.1×	136 0.9×	67 0.6×	173 1.6×	111 1.4×	10	398
Justin A. Budka United States	8	223 1.3×	109 0.7×	77 0.7×	89 0.8×	37 0.5×	16	314
Shunli Peng China	9	234 1.3×	139 0.9×	168 1.6×	194 1.8×	76 1.0×	14	451
Martina Milella Italy	8	255 1.4×	298 2.0×	123 1.1×	81 0.8×	42 0.5×	13	448
Louie Semaan United States	8	169 1.0×	139 0.9×	88 0.8×	106 1.0×	46 0.6×	10	347
Xianyu Hu China	9	225 1.3×	102 0.7×	175 1.6×	85 0.8×	46 0.6×	18	345
Ye Hu China	11	224 1.3×	75 0.5×	96 0.9×	80 0.8×	45 0.6×	19	374

Countries citing papers authored by Bicheng Ye

Since Specialization

Citations

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

Fields of papers citing papers by Bicheng Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bicheng Ye

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

All Works

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18 of 18 papers shown

Ye, Bicheng, Jun Fan, Lei Xue, et al.. (2025). iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response prediction. iMeta. 4(2). e70011–e70011. 57 indexed citations breakdown →

Ye, Bicheng, Yuming Huang, Hui Gong, et al.. (2025). Machine learning identifies TIME subtypes linking EGFR mutations and immune states in lung adenocarcinoma. npj Digital Medicine. 8(1). 796–796.

Lin, Anqi, Yabing Mai, Guichuan Lai, et al.. (2025). Mechanistic insights into taxane-induced psychiatric adverse events: a global pharmacovigilance and experimental investigation. Molecular Psychiatry. 31(3). 1385–1397.

Jiang, Aimin, Wenqiang Liu, Qiwei Yang, et al.. (2024). TDERS, an exosome RNA-derived signature predicts prognosis and immunotherapeutic response in clear cell renal cell cancer: a multicohort study. SHILAP Revista de lepidopterología. 4(4). 382–394. 3 indexed citations

Qi, Lin, Bicheng Ye, Anbang Wang, et al.. (2024). MOICS, a novel classier deciphering immune heterogeneity and aid precise management of clear cell renal cell carcinoma at multiomics level. Cancer Biology & Therapy. 25(1). 2345977–2345977.

Ye, Bicheng, et al.. (2024). Deciphering lung adenocarcinoma prognosis and immunotherapy response through an AI‐driven stemness‐related gene signature. Journal of Cellular and Molecular Medicine. 28(14). e18564–e18564. 10 indexed citations

Ye, Bicheng, et al.. (2024). Navigating the immune landscape with plasma cells: A pan‐cancer signature for precision immunotherapy. BioFactors. 51(1). e2142–e2142. 28 indexed citations

Ye, Bicheng, et al.. (2024). A novel artificial intelligence network to assess the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features. Frontiers in Immunology. 15. 1428529–1428529. 9 indexed citations

Ye, Bicheng, et al.. (2024). Single-cell sequencing reveals novel proliferative cell type: a key player in renal cell carcinoma prognosis and therapeutic response. Clinical and Experimental Medicine. 24(1). 167–167. 9 indexed citations

10.

Sun, Wei, et al.. (2023). Systemic immune-inflammation index predicts survival in patients with resected lung invasive mucinous adenocarcinoma. Translational Oncology. 40. 101865–101865. 16 indexed citations

11.

Zhao, Songyun, Bicheng Ye, Qi Wang, et al.. (2023). A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients. Frontiers in Pharmacology. 14. 1192777–1192777. 25 indexed citations

12.

Ye, Bicheng, Qi Wang, Xiaofeng Zhu, et al.. (2023). Single-cell RNA sequencing identifies a novel proliferation cell type affecting clinical outcome of pancreatic ductal adenocarcinoma. Frontiers in Oncology. 13. 1236435–1236435. 25 indexed citations

13.

Zhao, Songyun, Lanyu Wang, Bicheng Ye, et al.. (2023). Crosstalk of disulfidptosis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in bladder cancer based on a machine learning survival framework. Frontiers in Endocrinology. 14. 94 indexed citations breakdown →

14.

Li, Ang, Bai Ji, Yongsheng Yang, et al.. (2023). Single-cell RNA sequencing highlights the role of PVR/PVRL2 in the immunosuppressive tumour microenvironment in hepatocellular carcinoma. Frontiers in Immunology. 14. 1164448–1164448. 11 indexed citations

15.

Zhao, Songyun, Bicheng Ye, Hao Chi, Chao Cheng, & Jinhui Liu. (2023). Identification of peripheral blood immune infiltration signatures and construction of monocyte-associated signatures in ovarian cancer and Alzheimer's disease using single-cell sequencing. Heliyon. 9(7). e17454–e17454. 18 indexed citations

16.

Wu, Hao, et al.. (2022). Non‑small cell lung cancer carrying PBRM1 mutation suggests an immunologically cold phenotype leading to immunotherapy failure even with high TMB. Scientific Reports. 12(1). 4 indexed citations

17.

Li, Ang, et al.. (2022). A novel immunogenomic signature to predict prognosis and reveal immune infiltration characteristics in pancreatic ductal adenocarcinoma. Precision Clinical Medicine. 5(2). pbac010–pbac010. 3 indexed citations

18.

Ye, Bicheng, et al.. (2014). Learning and identifying the crucial proteins in signal transduction networks by a novel method. 309. 15–19. 1 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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