Zhide Fang
- Molecular Biology top 10%
- Cancer Research top 5%
- Physiology
- Management Science and Operations Research top 5%
- Plant Science
- Co-authors
- Douglas P. WiensZhong WangZakaria Y. Abd ElmageedKrishnarao MopartyKrzysztof MorozRaju ThomasAsim B. Abdel‐MageedMing J. Zuo
- Topics
- Optimal Experimental Design Methods (18 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)Gene expression and cancer classification (8 papers)
- Cited by
- Cancer ResearchStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhide Fang
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 709
- Cancer Research 315
- Physiology 174
- Management Science and Operations Research 128
- Plant Science 96
Countries citing papers authored by Zhide Fang
This map shows the geographic impact of Zhide Fang'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 Zhide Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhide Fang more than expected).
Fields of papers citing papers by Zhide Fang
This network shows the impact of papers produced by Zhide Fang. 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 Zhide Fang. The network helps show where Zhide Fang may publish in the future.
Co-authorship network of co-authors of Zhide Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhide Fang. A scholar is included among the top collaborators of Zhide Fang 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 Zhide Fang. Zhide Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | Outcomes of Cataract Extraction with Kahook Dual Blade Goniotomy Versus iStent Trabecular Micro-Bypass Device With Minimum Two Year Follow-Up | 2 |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 42 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 41 | |
| 15 | 61 | |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 140 | |
| 19 | 4 | |
| 20 | 43 |
About Zhide Fang
Zhide Fang is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Developmental Biology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Gene expression and cancer classification (8 papers). The work is most often cited by research in Cancer Research (315 citations), Statistics, Probability and Uncertainty (90 citations) and Management Science and Operations Research (128 citations). Zhide Fang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Douglas P. Wiens, Zhong Wang, Zakaria Y. Abd Elmageed, Krishnarao Moparty, Krzysztof Moroz, Raju Thomas, Asim B. Abdel‐Mageed, Ming J. Zuo, Manish Ranjan and Debasis Mondal. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.