Xing He

1.4k total citations · 2 hit papers
46 papers, 792 citations indexed

About

Xing He is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Xing He has authored 46 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Molecular Biology and 7 papers in General Health Professions. Recurrent topics in Xing He's work include Biomedical Text Mining and Ontologies (13 papers), Machine Learning in Healthcare (9 papers) and Topic Modeling (5 papers). Xing He is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Machine Learning in Healthcare (9 papers) and Topic Modeling (5 papers). Xing He collaborates with scholars based in United States, China and United Kingdom. Xing He's co-authors include Jiang Bian, Yi Guo, Xizhou Pan, Lin Ma, Nan Li, Ning Ding, Xuan Xia, Mattia Prosperi, Matthew Sperrin and Mo Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Journal of Adolescent Health.

In The Last Decade

Xing He

36 papers receiving 767 citations

Hit Papers

GAN-based anomaly detection: A review 2020 2026 2022 2024 2022 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing He United States 12 369 78 68 63 58 46 792
Kevin Small United States 17 526 1.4× 39 0.5× 77 1.1× 128 2.0× 12 0.2× 34 1.1k
Pedro Pereira Rodrigues Portugal 19 854 2.3× 176 2.3× 79 1.2× 66 1.0× 25 0.4× 120 1.7k
Lars Niklasson Sweden 14 443 1.2× 57 0.7× 76 1.1× 28 0.4× 67 1.2× 95 1.1k
Md. Maniruzzaman Bangladesh 24 495 1.3× 27 0.3× 81 1.2× 82 1.3× 17 0.3× 90 1.7k
Alejandro Carrasco Spain 9 410 1.1× 77 1.0× 111 1.6× 45 0.7× 52 0.9× 45 1.0k
Wenjun Ma China 15 362 1.0× 51 0.7× 152 2.2× 62 1.0× 30 0.5× 59 983
Tasadduq Imam Australia 13 533 1.4× 260 3.3× 44 0.6× 32 0.5× 45 0.8× 40 1.1k
Woojae Kim South Korea 17 277 0.8× 35 0.4× 226 3.3× 33 0.5× 15 0.3× 50 1.3k
Kiran Khatter India 8 445 1.2× 62 0.8× 66 1.0× 41 0.7× 46 0.8× 23 923
Md. Abdul Awal Bangladesh 18 275 0.7× 63 0.8× 99 1.5× 81 1.3× 36 0.6× 54 1.1k

Countries citing papers authored by Xing He

Since Specialization
Citations

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

Fields of papers citing papers by Xing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing He

This figure shows the co-authorship network connecting the top 25 collaborators of Xing He. A scholar is included among the top collaborators of Xing He 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 Xing He. Xing He 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.
2.
Zhang, Zhenhao, Shirui Pan, Tianlong Chen, et al.. (2025). GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. Journal of Biomedical Informatics. 168. 104851–104851.
3.
Ran, Ran, et al.. (2025). Risk factors for complications after reduction mammaplasty: a systematic review and meta-analysis. European journal of medical research. 30(1). 440–440.
4.
Dai, Hao, Yu Huang, Xing He, et al.. (2025). Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data. Journal of Biomedical Informatics. 169. 104880–104880.
5.
Zhang, Heng, et al.. (2025). Visual SLAM algorithm based on dynamic feature elimination and dense mapping. Chinese Journal of Liquid Crystals and Displays. 40(5). 727–739.
6.
Nguyen, Khoa A., Debbie L. Wilson, Bradley R. Hall, et al.. (2024). Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings. SHILAP Revista de lepidopterología. 10(1). 24–24. 2 indexed citations
7.
Yang, Shuang, Xi Yang, Tianchen Lyu, et al.. (2024). Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. PubMed. 8(3). 463–477. 5 indexed citations
8.
Xu, Jie, Xing He, Wei Shao, Jiang Bian, & Russell Terry. (2023). Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics. 10(3). 55–55. 4 indexed citations
9.
Li, Qian, Xi Yang, Jie Xu, et al.. (2023). Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records. Alzheimer s & Dementia. 19(8). 3506–3518. 51 indexed citations
10.
Yan, Sandra C., Kaitlyn Melnick, Xing He, et al.. (2023). Developing a computable phenotype for glioblastoma. Neuro-Oncology. 26(6). 1163–1170. 1 indexed citations
11.
Zhao, Yunpeng, Xing He, Feng Zheng, et al.. (2022). Biases in using social media data for public health surveillance: A scoping review. International Journal of Medical Informatics. 164. 104804–104804. 14 indexed citations
12.
Yang, Xi, et al.. (2020). Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models. JMIR Medical Informatics. 8(11). e19735–e19735. 30 indexed citations
13.
He, Xing, Hansi Zhang, & Jiang Bian. (2020). User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base. Journal of Biomedical Informatics. 110. 103571–103571. 14 indexed citations
14.
Yang, Xi, Hansi Zhang, Xing He, Jiang Bian, & Yonghui Wu. (2020). Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models. JMIR Medical Informatics. 8(12). e22982–e22982. 18 indexed citations
15.
He, Xing, Rui Zhang, Rubina Rizvi, et al.. (2019). ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics and Decision Making. 19(S4). 150–150. 21 indexed citations
16.
Zhang, Hansi, Xing He, Tyler R. Harrison, & Jiang Bian. (2019). Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors.. 7–11. 2 indexed citations
17.
Zhao, Yunpeng, Yi Guo, Xing He, et al.. (2018). Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. PubMed. 2018. 51–52. 11 indexed citations
18.
He, Xing, et al.. (2017). The effects of moral punishment and relationship punishment on junior middle school students' cooperation behaviors in public goods dilemma. Acta Psychologica Sinica. 49(10). 1322–1322. 5 indexed citations
19.
He, Xing. (2011). Exploration and Practice on Training Mode of Applied Innovative Undergraduates.
20.
He, Xing, et al.. (2008). Assessing Urban Forest Structure and Health in Shenyang, China. Arboriculture & Urban Forestry. 34(6). 379–385. 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.

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