Shunlei Li
Impact in
Papers in
-
- Advanced Data Compression Techniques 2
- Medical Image Segmentation Techniques 1
- Co-authors
- Xia Fang (3 shared papers)Majid Khayatnezhad (1 shared paper)Noradin Ghadimi (1 shared paper)Mojtaba Ghadamyari (1 shared paper)Kun-Yi Guo (1 shared paper)Yuesong Li (1 shared paper)Mostafa Habibi (1 shared paper)Yuhan Ding (1 shared paper)
In The Last Decade
Shunlei Li
19 papers receiving 282 citations
Shunlei Li's Hit Papers
Peers
Comparison fields: 5 of 86
- Energy Engineering and Power Technology 13
- Health Informatics 4
- Otorhinolaryngology 10
- General Energy 2
- Mechanics of Materials 44
Countries citing papers authored by Shunlei Li
This map shows the geographic impact of Shunlei Li'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 Shunlei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunlei Li more than expected).
Fields of papers citing papers by Shunlei Li
This network shows the impact of papers produced by Shunlei Li. 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 Shunlei Li. The network helps show where Shunlei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shunlei Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evaluating the efficiency of CCHP systems in Xinjiang Uygur Autonomous Region: An optimal strategy based on improved mother optimization algorithm Hit paper breakdown → | 2024 | 113 |
| 2 | 2020 | 44 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 |
About Shunlei Li
Shunlei Li is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 19 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Advanced Data Compression Techniques (2 papers), Complex Network Analysis Techniques (2 papers), Stability and Control of Uncertain Systems (1 paper), Advanced Clustering Algorithms Research (1 paper), Retinal Imaging and Analysis (1 paper), Surgical Simulation and Training (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (13 citations), Health Informatics (4 citations), Otorhinolaryngology (10 citations), General Energy (2 citations) and Mechanics of Materials (44 citations). Shunlei Li has collaborated with scholars based in Italy, China and Hong Kong. Frequent co-authors include Xia Fang, Majid Khayatnezhad, Noradin Ghadimi, Mojtaba Ghadamyari, Kun-Yi Guo, Yuesong Li, Mostafa Habibi, Yuhan Ding, Muhammad Adeel Azam and Jie Wang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Biomedical Signal Processing and Control, IEEE Transactions on Industrial Informatics, Journal Of Big Data and Applied Sciences.
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.