Ni He
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
-
- Stock Market Forecasting Methods
Papers in
-
- Neural Networks and Applications 7
-
- Stock Market Forecasting Methods 9
- Co-authors
- Hujun Yin (7 shared papers)Peihong Wu (8 shared papers)Yaopan Wu (12 shared papers)Chuanmiao Xie (5 shared papers)Changchuan Pan (3 shared papers)Sheng Li (4 shared papers)Ming Zhao (3 shared papers)Yanan Kong (4 shared papers)
- Journals
- European Journal of Radiology (4 papers)European Radiology (3 papers)Neurocomputing (3 papers)Frontiers in Oncology (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ni He
48 papers receiving 728 citations
Peers
Comparison fields: 5 of 97
- Otorhinolaryngology 48
- Management Science and Operations Research 123
- Radiology, Nuclear Medicine and Imaging 166
- Hepatology 39
- Cancer Research 52
Countries citing papers authored by Ni He
This map shows the geographic impact of Ni He'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 Ni He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni He more than expected).
Fields of papers citing papers by Ni He
This network shows the impact of papers produced by Ni He. 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 Ni He. The network helps show where Ni He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ni He, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 76 | |
| 2 | 2013 | 65 | |
| 3 | 2015 | 61 | |
| 4 | 2012 | 61 | |
| 5 | 2020 | 48 | |
| 6 | 2013 | 34 | |
| 7 | 2020 | 33 | |
| 8 | 2010 | 30 | |
| 9 | 2011 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2012 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2008 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2009 | 15 | |
| 20 | 2023 | 14 |
About Ni He
Ni He is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Control and Systems Engineering and Signal Processing, having authored 54 papers that have together received 753 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (9 papers), Neural Networks and Applications (7 papers), Complex Systems and Time Series Analysis (5 papers), MRI in cancer diagnosis (4 papers), Time Series Analysis and Forecasting (4 papers), Breast Cancer Treatment Studies (3 papers), Fault Detection and Control Systems (3 papers) and Market Dynamics and Volatility (3 papers). The work is most often cited by research in Otorhinolaryngology (48 citations), Management Science and Operations Research (123 citations), Radiology, Nuclear Medicine and Imaging (166 citations), Hepatology (39 citations) and Cancer Research (52 citations). Ni He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hujun Yin, Peihong Wu, Yaopan Wu, Chuanmiao Xie, Changchuan Pan, Sheng Li, Ming Zhao, Yanan Kong, Zhi-Mei Huang and Ning Lv. Their work appears in journals such as European Journal of Radiology, European Radiology, Neurocomputing, Frontiers in Oncology and Knowledge-Based Systems.
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.