Zheng Chen
- Computational Mathematics top 1%
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 13
- Statistical Methods and Inference 13
- Advanced Causal Inference Techniques 5
- Statistical Distribution Estimation and Applications 3
- Pharmacology top 10%
- Information Systems top 5%
-
- Renal Transplantation Outcomes and Treatments 6
-
- Organ Transplantation Techniques and Outcomes 6
- Transplantation: Methods and Outcomes 4
-
- Nanoplatforms for cancer theranostics 3
- Journals
- Advanced Materials (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zheng Chen
56 papers receiving 669 citations
Peers
Comparison fields: 5 of 134
- Computational Mathematics 84
- Statistics and Probability 65
- Pharmacology 56
- Complementary and alternative medicine 48
- Information Systems 129
Countries citing papers authored by Zheng Chen
This map shows the geographic impact of Zheng Chen'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 Zheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Chen more than expected).
Fields of papers citing papers by Zheng Chen
This network shows the impact of papers produced by Zheng Chen. 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 Zheng Chen. The network helps show where Zheng Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zheng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 16 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 8 | |
| 17 | 2017 | 37 | |
| 18 | CUNY-BLENDER TAC-KBP2012 Entity Linking System and Slot Filling Validation System | 2012 | 7 |
| 19 | ~(40)Ar- ~(39)Ar isotope dating of muscovite from Jingerquan pegmatite rare metal deposit in Hami, Xinjiang, and its geological significance | 2006 | 13 |
| 20 | PSEUDO-CRITICAL COMPRESSIBILITY FACTOR ε_c AND SLOPE F IN PT EQUATION OF STATE FOR 33 REFRIGERANTS | 2005 | 1 |
About Zheng Chen
Zheng Chen is a scholar working on Transplantation, Statistics and Probability and Computational Mathematics, having authored 63 papers that have together received 700 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Statistical Methods and Inference (13 papers), Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Advanced Causal Inference Techniques (5 papers), Transplantation: Methods and Outcomes (4 papers), Statistical Distribution Estimation and Applications (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Computational Mathematics (84 citations), Statistics and Probability (65 citations) and Pharmacology (56 citations). Zheng Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tsuyoshi Nakamura, Huan Liu, Yuchang Lu, Hua-Jun Zeng, Jian-Tao Sun, Dong Han, Huilin Chen, Huimin Li, Chengfeng Zhang and Jingjing Lyu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.
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.