Chengxi Zang

1.7k total citations · 2 hit papers
30 papers, 415 citations indexed

About

Chengxi Zang is a scholar working on Statistical and Nonlinear Physics, Neurology and Artificial Intelligence. According to data from OpenAlex, Chengxi Zang has authored 30 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 8 papers in Neurology and 7 papers in Artificial Intelligence. Recurrent topics in Chengxi Zang's work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (8 papers) and Long-Term Effects of COVID-19 (7 papers). Chengxi Zang is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (8 papers) and Long-Term Effects of COVID-19 (7 papers). Chengxi Zang collaborates with scholars based in United States, China and Greece. Chengxi Zang's co-authors include Peng Cui, Christos Faloutsos, Rainu Kaushal, Mark G. Weiner, Thomas W. Carton, Russell L. Rothman, Jason P. Block, Dhruv Khullar, Yongkang Zhang and Zhenxing Xu and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chengxi Zang

30 papers receiving 406 citations

Hit Papers

2 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.

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

2022 108 citations Hao Zhang, Chengxi Zang et al. Nature Medicine profile →
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program

2023 70 citations Dhruv Khullar, Yongkang Zhang et al. Journal of General Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengxi Zang United States	10	184	80	78	66	62	30	415
Milad Asgari Mehrabadi United States	7	89 0.5×	80 1.0×	44 0.6×	108 1.6×	84 1.4×	21	489
Marina Sánchez‐Rico France	13	243 1.3×	133 1.7×	205 2.6×	20 0.3×	8 0.1×	34	729
Jesús González-Rubio Spain	14	38 0.2×	19 0.2×	62 0.8×	10 0.2×	176 2.8×	59	540
Chang Su United States	11	25 0.1×	28 0.3×	15 0.2×	28 0.4×	216 3.5×	26	632
Nicolás Paris France	13	151 0.8×	78 1.0×	104 1.3×		77 1.2×	35	631
Justin Lu United States	12	198 1.1×	38 0.5×	222 2.8×		52 0.8×	27	499
Daniel Bean United Kingdom	15	216 1.2×	65 0.8×	327 4.2×	2 0.0×	86 1.4×	32	831
Valerio Guarrasi Italy	13	19 0.1×	6 0.1×	58 0.7×	15 0.2×	114 1.8×	44	409
О Э Карпов Russia	10	33 0.2×	2 0.0×	40 0.5×	12 0.2×	35 0.6×	65	285
Zirun Zhao United States	11	97 0.5×	25 0.3×	208 2.7×	1 0.0×	117 1.9×	21	553

Countries citing papers authored by Chengxi Zang

Since Specialization

Citations

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

Fields of papers citing papers by Chengxi Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengxi Zang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Jielin, Chengxi Zang, Chang Su, et al.. (2025). A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson’s disease. npj Parkinson s Disease. 11(1). 22–22. 4 indexed citations

Li, Haoyang, Chengxi Zang, Zhenxing Xu, et al.. (2025). Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digital Medicine. 8(1). 387–387. 1 indexed citations

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

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

Oniani, David, et al.. (2024). Emerging opportunities of using large language models for translation between drug molecules and indications. Scientific Reports. 14(1). 10738–10738. 8 indexed citations

Bruno, Ann M., Chengxi Zang, Zhenxing Xu, et al.. (2024). Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis. EClinicalMedicine. 73. 102654–102654. 3 indexed citations

Zang, Chengxi, et al.. (2024). Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records. Translational Psychiatry. 14(1). 316–316. 4 indexed citations

Zang, Chengxi, Hao Zhang, Jie Xu, et al.. (2023). High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data. Nature Communications. 14(1). 8180–8180. 29 indexed citations

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

10.

Zang, Chengxi, Yongkang Zhang, Jie Xu, et al.. (2023). Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nature Communications. 14(1). 1948–1948. 27 indexed citations

11.

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 →

12.

Yang, He S., Daniel D. Rhoads, Jorge L. Sepulveda, et al.. (2022). Building the Model. Archives of Pathology & Laboratory Medicine. 147(7). 826–836. 17 indexed citations

13.

Zhang, Hao, Chengxi Zang, Zhenxing Xu, et al.. (2022). Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes. Nature Medicine. 29(1). 226–235. 108 indexed citations breakdown →

14.

Zang, Chengxi, et al.. (2022). Development of a screening algorithm for borderline personality disorder using electronic health records. Scientific Reports. 12(1). 11976–11976. 7 indexed citations

15.

Zang, Chengxi & Fei Wang. (2021). SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. PubMed. 2021. 857–866. 8 indexed citations

16.

Lu, Yunfei, Tianyang Zhang, Chengxi Zang, et al.. (2020). Exploring the collective human behavior in cascading systems: a comprehensive framework. Knowledge and Information Systems. 62(12). 4599–4623. 5 indexed citations

17.

Zang, Chengxi, et al.. (2019). Causation-Driven Visualizations for Insurance Recommendation. 471–476. 2 indexed citations

18.

Zang, Chengxi, Peng Cui, & Wenwu Zhu. (2018). Learning and Interpreting Complex Distributions in Empirical Data. 2682–2691. 5 indexed citations

19.

Lu, Yunfei, Tianyang Zhang, Chengxi Zang, et al.. (2018). Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. 297–306. 7 indexed citations

20.

Zang, Chengxi, Peng Cui, & Christos Faloutsos. (2016). Beyond Sigmoids. 2015–2024. 26 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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