Han Ye
Impact in
-
- Microplastics and Plastic Pollution
- Management Information Systems top 10%
- Advanced Queuing Theory Analysis
Papers in
-
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Circular RNAs in diseases 2
- Co-authors
- Haipeng Shen (5 shared papers)R.N. Ibrahim (2 shared papers)Pierre L’Ecuyer (2 shared papers)Haoran Zhao (1 shared paper)Quan Wang (1 shared paper)Zengqiang Zhang (1 shared paper)Xiuna Ren (1 shared paper)To‐Hung Tsui (1 shared paper)
- Journals
- Current Eye Research (2 papers)Journal of Operations Management (2 papers)International Journal of Forecasting (1 paper)World Neurosurgery (1 paper)Marine Life Science & Technology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Han Ye
38 papers receiving 408 citations
Peers
Comparison fields: 5 of 129
- Pollution 58
- Management Information Systems 41
- Industrial and Manufacturing Engineering 34
- Radiological and Ultrasound Technology 16
- Internal Medicine 10
Countries citing papers authored by Han Ye
This map shows the geographic impact of Han Ye'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 Han Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Ye more than expected).
Fields of papers citing papers by Han Ye
This network shows the impact of papers produced by Han Ye. 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 Han Ye. The network helps show where Han Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 62 | |
| 2 | 2016 | 58 | |
| 3 | 2018 | 34 | |
| 4 | 2000 | 26 | |
| 5 | 2024 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2022 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 3 |
About Han Ye
Han Ye is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 44 papers that have together received 415 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Healthcare Policy and Management (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Healthcare Operations and Scheduling Optimization (3 papers), Advanced Queuing Theory Analysis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Pollution (58 citations), Management Information Systems (41 citations), Industrial and Manufacturing Engineering (34 citations), Radiological and Ultrasound Technology (16 citations) and Internal Medicine (10 citations). Han Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haipeng Shen, R.N. Ibrahim, Pierre L’Ecuyer, Haoran Zhao, Quan Wang, Zengqiang Zhang, Xiuna Ren, To‐Hung Tsui, Rongchen Zhu and Hong Qian. Their work appears in journals such as Current Eye Research, Journal of Operations Management, International Journal of Forecasting, World Neurosurgery and Marine Life Science & Technology.
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.