Yiming Hei
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
-
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 5
- Cryptography and Data Security 4
- Advanced Graph Neural Networks 4
- Advanced Text Analysis Techniques 3
-
- Blockchain Technology Applications and Security 10
- Web Data Mining and Analysis 2
- Co-authors
- Jianwei Liu (13 shared papers)Yizhong Liu (7 shared papers)Qianhong Wu (7 shared papers)Dawei Li (5 shared papers)Hao Peng (3 shared papers)Lihong Wang (7 shared papers)Jiawei Sheng (8 shared papers)Shu Guo (8 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Computer Networks (1 paper)Applied Sciences (1 paper)Neurocomputing (1 paper)Data Intelligence (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yiming Hei
18 papers receiving 311 citations
Peers
Comparison fields: 5 of 41
- Information Systems 186
- Computer Networks and Communications 127
- Artificial Intelligence 160
- Signal Processing 45
- Management Science and Operations Research 22
Countries citing papers authored by Yiming Hei
This map shows the geographic impact of Yiming Hei'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 Yiming Hei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Hei more than expected).
Fields of papers citing papers by Yiming Hei
This network shows the impact of papers produced by Yiming Hei. 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 Yiming Hei. The network helps show where Yiming Hei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiming Hei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2020 | 41 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 3 | |
| 16 | Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. | 2021 | 2 |
| 17 | 2021 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Yiming Hei
Yiming Hei is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Signal Processing, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), IoT and Edge/Fog Computing (4 papers), Cryptography and Data Security (4 papers), Advanced Graph Neural Networks (4 papers), Advanced Text Analysis Techniques (3 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Information Systems (186 citations), Computer Networks and Communications (127 citations), Artificial Intelligence (160 citations), Signal Processing (45 citations) and Management Science and Operations Research (22 citations). Yiming Hei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jianwei Liu, Yizhong Liu, Qianhong Wu, Dawei Li, Hao Peng, Lihong Wang, Jiawei Sheng, Shu Guo, Hui Yu and Tongge Xu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Computer Networks, Applied Sciences, Neurocomputing and Data Intelligence.
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.