Ge Fang
- Biomedical Engineering top 10%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Surgery
- Condensed Matter Physics top 10%
- Co-authors
- Ka‐Wai KwokJustin HoXiaomei WangKui WangKit-Hang LeeHing‐Chiu ChangDanny Tat Ming ChanZiyang Dong
- Topics
- Soft Robotics and Applications (13 papers)Surgical Simulation and Training (4 papers)Advanced MRI Techniques and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCoordination Chemistry ReviewsChemical Engineering Journal
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ge Fang
27 papers receiving 541 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 402
- Mechanical Engineering 104
- Control and Systems Engineering 98
- Surgery 91
- Condensed Matter Physics 81
Countries citing papers authored by Ge Fang
This map shows the geographic impact of Ge 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 Ge Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Fang more than expected).
Fields of papers citing papers by Ge Fang
This network shows the impact of papers produced by Ge 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 Ge Fang. The network helps show where Ge Fang may publish in the future.
Co-authorship network of co-authors of Ge Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Fang. A scholar is included among the top collaborators of Ge 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 Ge Fang. Ge 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 | 7 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 102 | |
| 12 | 33 | |
| 13 | 61 | |
| 14 | 94 | |
| 15 | 38 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | A comparative study of the outcome of renal transplantation in peritoneal dialysis and hemodialysis patients. | 6 |
| 19 | Correction of anemia in patients on continuous ambulatory peritoneal dialysis with subcutaneous recombinant erythropoietin twice a week: a long-term study. | 22 |
| 20 | 5 |
About Ge Fang
Ge Fang is a scholar working on Transplantation, Biomedical Engineering and Nephrology, having authored 27 papers that have together received 558 indexed citations. Recurring topics across this work include Soft Robotics and Applications (13 papers), Surgical Simulation and Training (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Biomedical Engineering (402 citations), Condensed Matter Physics (81 citations) and Control and Systems Engineering (98 citations). Ge Fang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Ka‐Wai Kwok, Justin Ho, Xiaomei Wang, Kui Wang, Kit-Hang Lee, Hing‐Chiu Chang, Danny Tat Ming Chan, Ziyang Dong, Jason Y. K. Chan and Xiaochen Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, Coordination Chemistry Reviews and Chemical Engineering Journal.
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.