Lian Li
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Co-authors
- Ning AnYanyong ZhangKunxia WangBing Nan LiAiguo WangGil AlterovitzGuilin ChenJing Yang
- Topics
- Gene expression and cancer classification (5 papers)Machine Learning in Bioinformatics (4 papers)Speech and Audio Processing (4 papers)
- Cited by
- Signal ProcessingExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Lian Li
56 papers receiving 969 citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 308
- Experimental and Cognitive Psychology 294
- Signal Processing 244
- Computer Vision and Pattern Recognition 202
- Molecular Biology 177
Countries citing papers authored by Lian Li
This map shows the geographic impact of Lian 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 Lian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian Li more than expected).
Fields of papers citing papers by Lian Li
This network shows the impact of papers produced by Lian 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 Lian Li. The network helps show where Lian Li may publish in the future.
Co-authorship network of co-authors of Lian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Lian Li. A scholar is included among the top collaborators of Lian Li 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 Lian Li. Lian Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 18 | |
| 15 | 64 | |
| 16 | 25 | |
| 17 | Change Detection Method for Remote Sensing Images Based on Multi-features Fusion | 3 |
| 18 | Improved response displacement method for evaluating seismic responses of underground structures | 0 |
| 19 | 8 | |
| 20 | A Study on the Impact of Managers' Self-interest Incentive to Cost Stickiness | 0 |
About Lian Li
Lian Li is a scholar working on General Engineering, Reproductive Medicine and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (244 citations), Experimental and Cognitive Psychology (294 citations) and Computer Vision and Pattern Recognition (202 citations). Lian Li has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Ning An, Yanyong Zhang, Kunxia Wang, Bing Nan Li, Aiguo Wang, Gil Alterovitz, Guilin Chen, Jing Yang, Zhe Zhang and Mingxia Ye. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.