Shi‐Jian Ding

676 total citations
31 papers, 539 citations indexed

About

Shi‐Jian Ding is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Shi‐Jian Ding has authored 31 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cancer Research. Recurrent topics in Shi‐Jian Ding's work include Machine Learning in Bioinformatics (12 papers), COVID-19 diagnosis using AI (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Shi‐Jian Ding is often cited by papers focused on Machine Learning in Bioinformatics (12 papers), COVID-19 diagnosis using AI (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Shi‐Jian Ding collaborates with scholars based in China, United States and Denmark. Shi‐Jian Ding's co-authors include Hu Zhou, Yu‐Dong Cai, Tao Huang, Rong Zeng, Zhao–You Tang, Xiao‐Xia Shao, Qi‐Chang Xia, Yan Li, Lei Chen and Zhandong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Microbiology.

In The Last Decade

Shi‐Jian Ding

31 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Jian Ding China 12 351 111 74 63 62 31 539
Raghuveera Kumar Goel Canada 13 292 0.8× 90 0.8× 59 0.8× 27 0.4× 140 2.3× 21 521
Yunping Zhu China 14 401 1.1× 73 0.7× 80 1.1× 62 1.0× 151 2.4× 40 697
Seung Oe Lim South Korea 9 394 1.1× 71 0.6× 113 1.5× 68 1.1× 61 1.0× 9 588
Zhicheng Pan China 16 669 1.9× 143 1.3× 38 0.5× 24 0.4× 44 0.7× 23 858
Francesco Gatto Sweden 15 678 1.9× 214 1.9× 82 1.1× 28 0.4× 120 1.9× 35 879
Ruedi Aebersold Switzerland 9 515 1.5× 33 0.3× 122 1.6× 49 0.8× 45 0.7× 13 665
Simion Kreimer United States 13 519 1.5× 148 1.3× 24 0.3× 134 2.1× 21 0.3× 33 673
Antje Dittmann Switzerland 9 295 0.8× 38 0.3× 38 0.5× 37 0.6× 80 1.3× 23 466
Alberto Calderone Italy 12 521 1.5× 57 0.5× 27 0.4× 43 0.7× 43 0.7× 16 635
Georgia Arentz Australia 16 327 0.9× 58 0.5× 35 0.5× 197 3.1× 63 1.0× 23 592

Countries citing papers authored by Shi‐Jian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Jian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Jian Ding. 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 Shi‐Jian Ding. The network helps show where Shi‐Jian Ding may publish in the future.

Co-authorship network of co-authors of Shi‐Jian Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Jian Ding. A scholar is included among the top collaborators of Shi‐Jian Ding 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 Shi‐Jian Ding. Shi‐Jian Ding 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.
Gubu, Amu, Xin Yang, Hang Luo, et al.. (2025). Machine learning-powered, high-affinity modification strategies for aptamers. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
2.
Chen, Lei, Zi Mei, Wei Guo, et al.. (2022). Recognition of Immune Cell Markers of COVID‐19 Severity with Machine Learning Methods. BioMed Research International. 2022(1). 6089242–6089242. 10 indexed citations
3.
Liu, Zhiyang, Mei Meng, Shi‐Jian Ding, et al.. (2022). Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods. Frontiers in Microbiology. 13. 1007295–1007295. 5 indexed citations
4.
Zhang, Yuhang, Shi‐Jian Ding, Lei Chen, Tao Huang, & Yu‐Dong Cai. (2022). Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods. BioMed Research International. 2022(1). 3288527–3288527. 7 indexed citations
5.
Li, Hao, Deling Wang, Shi‐Jian Ding, et al.. (2022). Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods. Frontiers in Molecular Neuroscience. 15. 1033159–1033159. 6 indexed citations
6.
Li, JiaRui, et al.. (2022). Functional and embedding feature analysis for pan-cancer classification. Frontiers in Oncology. 12. 979336–979336. 4 indexed citations
7.
Li, Zhandong, Zi Mei, Shi‐Jian Ding, et al.. (2022). Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods. Frontiers in Molecular Biosciences. 9. 908080–908080. 8 indexed citations
8.
Meng, Mei, Shi‐Jian Ding, Kaiyan Feng, et al.. (2022). Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8+ T cells. Frontiers in Genetics. 13. 1053772–1053772. 5 indexed citations
9.
Li, Zhandong, Wei Guo, Shi‐Jian Ding, et al.. (2022). Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods. Frontiers in Genetics. 13. 880997–880997. 13 indexed citations
10.
Ding, Shi‐Jian, Zhandong Li, Tao Zeng, et al.. (2021). Identifying Infliximab‐ (IFX‐) Responsive Blood Signatures for the Treatment of Rheumatoid Arthritis. BioMed Research International. 2021(1). 1 indexed citations
11.
Yuan, Fei, Zhandong Li, Lei Chen, et al.. (2021). Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes. Frontiers in Genetics. 12. 651610–651610. 15 indexed citations
12.
Ding, Shi‐Jian, Hao Li, Yuhang Zhang, et al.. (2021). Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines. Frontiers in Cell and Developmental Biology. 9. 781285–781285. 11 indexed citations
13.
Fu, Xin, et al.. (2021). Use of a Network-Based Method to Identify Latent Genes Associated with Hearing Loss in Children. Frontiers in Cell and Developmental Biology. 9. 783500–783500. 4 indexed citations
14.
Yu, Xiangtian, Yan Xu, Sibao Wan, et al.. (2020). Identifying Essential Methylation Patterns and Genes Associated With Stroke. IEEE Access. 8. 96669–96676. 4 indexed citations
15.
Zhang, Yuhang, Tao Zeng, Lei Chen, et al.. (2020). Identification of COVID‐19 Infection‐Related Human Genes Based on a Random Walk Model in a Virus–Human Protein Interaction Network. BioMed Research International. 2020(1). 4256301–4256301. 15 indexed citations
16.
Price, Michael E., Jacqueline A. Pavlik, Miao Liu, et al.. (2017). Alcohol drivesS-nitrosylation and redox activation of protein phosphatase 1, causing bovine airway cilia dysfunction. American Journal of Physiology-Lung Cellular and Molecular Physiology. 312(3). L432–L439. 11 indexed citations
17.
Qiu, Hong, Jun‐Lin Jiang, Miao Liu, et al.. (2013). Quantitative Phosphoproteomics Analysis Reveals Broad Regulatory Role of Heparan Sulfate on Endothelial Signaling. Molecular & Cellular Proteomics. 12(8). 2160–2173. 21 indexed citations
18.
Hou, Jinxuan, Jixin Dong, Lijun Sun, et al.. (2011). Inhibition of phosphorylated c-Met in rhabdomyosarcoma cell lines by a small molecule inhibitor SU11274. Journal of Translational Medicine. 9(1). 64–64. 23 indexed citations
19.
Li, Chen, Yexiong Tan, Hu Zhou, et al.. (2005). Proteomic analysis of hepatitis B virus‐associated hepatocellular carcinoma: Identification of potential tumor markers. PROTEOMICS. 5(4). 1125–1139. 90 indexed citations
20.
Ding, Shi‐Jian, Yan Li, Xiao‐Xia Shao, et al.. (2004). Proteome analysis of hepatocellular carcinoma cell strains, MHCC97‐H and MHCC97‐L, with different metastasis potentials. PROTEOMICS. 4(4). 982–994. 132 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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