Xiaotong Lin
Impact in
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Health Informatics top 10%
Papers in
-
- Ubiquitin and proteasome pathways 5
- RNA Interference and Gene Delivery 4
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 3
-
- Catalytic C–H Functionalization Methods 5
- Cyclopropane Reaction Mechanisms 3
- Asymmetric Synthesis and Catalysis 3
- Co-authors
- Xuewen Chen (3 shared papers)Yun‐Lin Liu (8 shared papers)Jong Cheol Jeong (1 shared paper)Rick S. Blum (4 shared papers)Xuewen Chen (2 shared papers)Yan Zhao (2 shared papers)Guo‐Shu Chen (7 shared papers)Chuan‐Ming Xie (15 shared papers)
- Journals
- Advanced Synthesis & Catalysis (5 papers)Cell Reports (2 papers)Experimental & Molecular Medicine (2 papers)Frontiers in Oncology (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaotong Lin
50 papers receiving 2.1k citations
Xiaotong Lin's Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 485
- Health Informatics 14
- Organic Chemistry 307
- Computational Mathematics 6
- Computer Vision and Pattern Recognition 206
Countries citing papers authored by Xiaotong Lin
This map shows the geographic impact of Xiaotong Lin'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 Xiaotong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotong Lin more than expected).
Fields of papers citing papers by Xiaotong Lin
This network shows the impact of papers produced by Xiaotong Lin. 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 Xiaotong Lin. The network helps show where Xiaotong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaotong Lin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big Data Deep Learning: Challenges and Perspectives Hit paper breakdown → | 2014 | 861 |
| 2 | 2018 | 185 | |
| 3 | 2010 | 157 | |
| 4 | 2008 | 116 | |
| 5 | 2020 | 63 | |
| 6 | 2000 | 58 | |
| 7 | 2018 | 52 | |
| 8 | 2017 | 52 | |
| 9 | 2023 | 51 | |
| 10 | 2016 | 48 | |
| 11 | 2021 | 44 | |
| 12 | 2012 | 42 | |
| 13 | 2019 | 36 | |
| 14 | 2009 | 34 | |
| 15 | 2018 | 32 | |
| 16 | 2023 | 24 | |
| 17 | 2010 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2024 | 19 |
About Xiaotong Lin
Xiaotong Lin is a scholar working on Molecular Biology, Organic Chemistry, Artificial Intelligence, Oncology and Cancer Research, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Catalytic C–H Functionalization Methods (5 papers), RNA Interference and Gene Delivery (4 papers), Bioinformatics and Genomic Networks (4 papers), Cyclopropane Reaction Mechanisms (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Machine Learning in Bioinformatics (3 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Artificial Intelligence (485 citations), Health Informatics (14 citations), Organic Chemistry (307 citations), Computational Mathematics (6 citations) and Computer Vision and Pattern Recognition (206 citations). Xiaotong Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuewen Chen, Yun‐Lin Liu, Jong Cheol Jeong, Rick S. Blum, Xuewen Chen, Yan Zhao, Guo‐Shu Chen, Chuan‐Ming Xie, Lei Fang and Shanhe Li. Their work appears in journals such as Advanced Synthesis & Catalysis, Cell Reports, Experimental & Molecular Medicine, Frontiers in Oncology and Cancer Letters.
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.