Xiao Li
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Pulmonary and Respiratory Medicine top 10%
- Analytical Chemistry top 2%
- Oncology
- Topics
- Computational Drug Discovery Methods (26 papers)Natural Language Processing Techniques (8 papers)Topic Modeling (6 papers)
- Cited by
- Computational Theory and MathematicsComputer Graphics and Computer-Aided DesignAnalytical Chemistry
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAdvanced Functional Materials
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Xiao Li
155 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Molecular Biology 736
- Computational Theory and Mathematics 539
- Pulmonary and Respiratory Medicine 246
- Analytical Chemistry 196
- Oncology 189
Countries citing papers authored by Xiao Li
This map shows the geographic impact of Xiao 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 Xiao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Li more than expected).
Fields of papers citing papers by Xiao Li
This network shows the impact of papers produced by Xiao 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 Xiao Li. The network helps show where Xiao Li may publish in the future.
Co-authorship network of co-authors of Xiao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Li. A scholar is included among the top collaborators of Xiao 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 Xiao Li. Xiao 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 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 38 | |
| 11 | Smart Malware that Uses Leaked Control Data of Robotic Applications: The Case of Raven-II Surgical Robots | 11 |
| 12 | 16 | |
| 13 | 16 | |
| 14 | 38 | |
| 15 | Research on Sentence Semantic Similarity Calculation Based on Word2vec | 7 |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 53 | |
| 19 | THERAPEUTIC EFFECT OF BOTULINUM TOXIN A IN THE TREATMENT OF POSTHERPETIC NEURALGIA BY SUBCUTANEOUS INJECTION | 1 |
| 20 | SMP Cluster:How to Exploit Two - Level Parallelisms | 1 |
About Xiao Li
Xiao Li is a scholar working on Computational Theory and Mathematics, Archeology and Virology, having authored 169 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computational Theory and Mathematics (539 citations), Computer Graphics and Computer-Aided Design (81 citations) and Analytical Chemistry (196 citations). Xiao Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Weihua Li, Guixia Liu, Yun Tang, Xin Tong, Pieter Peers, Yue Dong, Yong Zhao, Baoxia Gu, Wei Wang and Qi Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.
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.