Zhenxing Xu

2.1k total citations · 3 hit papers
51 papers, 1.2k citations indexed

About

Zhenxing Xu is a scholar working on Artificial Intelligence, Epidemiology and Neurology. According to data from OpenAlex, Zhenxing Xu has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Epidemiology and 7 papers in Neurology. Recurrent topics in Zhenxing Xu's work include Machine Learning in Healthcare (13 papers), Sepsis Diagnosis and Treatment (6 papers) and Long-Term Effects of COVID-19 (6 papers). Zhenxing Xu is often cited by papers focused on Machine Learning in Healthcare (13 papers), Sepsis Diagnosis and Treatment (6 papers) and Long-Term Effects of COVID-19 (6 papers). Zhenxing Xu collaborates with scholars based in United States, China and Pakistan. Zhenxing Xu's co-authors include Jyotishman Pathak, Chang Su, Fei Wang, Fei Wang, Yuan Luo, Ling Chen, Gencai Chen, Yikuan Li, Feixiong Cheng and Hanyin Wang and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zhenxing Xu

48 papers receiving 1.1k citations

Hit Papers

Multimodal machine learning in precision health: A scopin... 2022 2026 2023 2024 2022 2022 2023 50 100 150 200

Peers

Zhenxing Xu
Hafeez Ul Hassan Virk United States
Nhan Do United States
Maryam Panahiazar United States
Vignesh Subbian United States
Willy Chou Taiwan
Matteo Gadaleta United States
Sheng Yu China
Hafeez Ul Hassan Virk United States
Zhenxing Xu
Citations per year, relative to Zhenxing Xu Zhenxing Xu (= 1×) peers Hafeez Ul Hassan Virk

Countries citing papers authored by Zhenxing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenxing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenxing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenxing Xu. A scholar is included among the top collaborators of Zhenxing Xu 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 Zhenxing Xu. Zhenxing Xu 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.
Pathak, Jyotishman, Judith Cukor, Zhenxing Xu, et al.. (2025). Longitudinal Trajectories of Symptom Change During Antidepressant Treatment Among Managed Care Patients With Depression and Anxiety. Biological Psychiatry. 97(9). S11–S11.
2.
Zhang, Qianting, Yuning Feng, Zhenxing Xu, et al.. (2025). Quantitative non-volatile sensometabolome of Longjing tea and discrimination of taste quality by sensory analysis, large-scale quantitative metabolomics and machine learning. Food Chemistry. 485. 144496–144496. 3 indexed citations
3.
Rajendran, Suraj, Zhenxing Xu, Chengxi Zang, et al.. (2025). Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory. Nature Communications. 16(1). 4450–4450. 1 indexed citations
4.
Zang, Chengxi, Yu Hou, Edward J. Schenck, et al.. (2024). Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts. SHILAP Revista de lepidopterología. 4(1). 130–130. 10 indexed citations
5.
Wang, Qiubo, Zhenxing Xu, Zhimiao Wang, et al.. (2023). Causality of anti-Helicobacter pylori IgG levels on myocardial infarction and potential pathogenesis: a Mendelian randomization study. Frontiers in Microbiology. 14. 1259579–1259579. 6 indexed citations
6.
Zhang, Hongliang, et al.. (2023). Energy-Saving Scheduling for Flexible Job Shop Problem with AGV Transportation Considering Emergencies. Systems. 11(2). 103–103. 14 indexed citations
7.
Xu, Jie, Fei Wang, Chengxi Zang, et al.. (2023). Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records. Scientific Reports. 13(1). 8102–8102. 4 indexed citations
8.
Xu, Zhenxing, et al.. (2023). Defect detection of gear parts in virtual manufacturing. SHILAP Revista de lepidopterología. 6(1). 6–6. 6 indexed citations
9.
Adekkanattu, Prakash, Luke V. Rasmussen, Jennifer A. Pacheco, et al.. (2023). Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study. Scientific Reports. 13(1). 294–294. 10 indexed citations
10.
Khullar, Dhruv, Yongkang Zhang, Chengxi Zang, et al.. (2023). Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program. Journal of General Internal Medicine. 38(5). 1127–1136. 70 indexed citations breakdown →
11.
Wang, Qiubo, Zhimiao Wang, Mingyou Chen, et al.. (2023). Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers. Frontiers in Public Health. 11. 1201479–1201479. 8 indexed citations
12.
Barone, Daniel A., Harini Sarva, Fei Wang, et al.. (2023). Neurologic and psychiatric features of impending neurodegeneration in iRBD. Clinical Parkinsonism & Related Disorders. 9. 100216–100216. 1 indexed citations
13.
Kline, Adrienne, Hanyin Wang, Yikuan Li, et al.. (2022). Multimodal machine learning in precision health: A scoping review. npj Digital Medicine. 5(1). 171–171. 219 indexed citations breakdown →
14.
Xu, Zhenxing, Chang Su, Yunyu Xiao, & Fei Wang. (2021). Artificial intelligence for COVID-19: battling the pandemic with computational intelligence. SHILAP Revista de lepidopterología. 2(1). 13–29. 22 indexed citations
15.
Su, Chang, Zhenxing Xu, Eric A. Hoffman, et al.. (2021). Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19. Scientific Reports. 11(1). 15872–15872. 19 indexed citations
16.
Xu, Zhenxing, Yuan Luo, Tamara Isakova, et al.. (2020). Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. Journal of Biomedical Informatics. 102. 103361–103361. 51 indexed citations
17.
Su, Chang, Zhenxing Xu, Jyotishman Pathak, & Fei Wang. (2020). Deep learning in mental health outcome research: a scoping review. Translational Psychiatry. 10(1). 116–116. 202 indexed citations
18.
Xu, Zhenxing, Yuan Luo, Prakash Adekkanattu, et al.. (2019). Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. Studies in health technology and informatics. 264. 462–466. 12 indexed citations
20.
Xu, Xiaowei, Xiaoxiao Chen, Junwei Ge, et al.. (2014). Generation of hepatitis B virus PreS2-S antigen in Hansenula polymorpha. Virologica Sinica. 29(6). 403–409. 9 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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