Lin Gui
Impact in
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Natural Language Processing Techniques
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- Lymphoma Diagnosis and Treatment
Papers in
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- Topic Modeling 59
- Sentiment Analysis and Opinion Mining 56
- Advanced Text Analysis Techniques 38
- Text and Document Classification Technologies 22
- Natural Language Processing Techniques 17
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- Lymphoma Diagnosis and Treatment 52
- Co-authors
- Ruifeng Xu (53 shared papers)Yulan He (51 shared papers)Jiachen Du (22 shared papers)Bin Ming Liang (16 shared papers)Qin Lu (22 shared papers)Ruifeng Xu (14 shared papers)Erik Cambria (2 shared papers)Hang Su (2 shared papers)
- Journals
- ACS Applied Nano Materials (6 papers)IEEE Transactions on Broadcasting (5 papers)Annals of Hematology (5 papers)Materials Research Express (4 papers)IEEE Transactions on Affective Computing (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lin Gui
320 papers receiving 5.3k citations
Lin Gui's Hit Papers
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 2.6k
- Pathology and Forensic Medicine 435
- Genetics 231
- Otorhinolaryngology 76
- Oncology 395
Countries citing papers authored by Lin Gui
This map shows the geographic impact of Lin Gui'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 Lin Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Gui more than expected).
Fields of papers citing papers by Lin Gui
This network shows the impact of papers produced by Lin Gui. 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 Lin Gui. The network helps show where Lin Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Gui, 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 344 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks Hit paper breakdown → | 2021 | 412 |
| 2 | 1998 | 198 | |
| 3 | 2017 | 139 | |
| 4 | 2016 | 130 | |
| 5 | 2017 | 129 | |
| 6 | 2021 | 104 | |
| 7 | 2022 | 90 | |
| 8 | 1996 | 86 | |
| 9 | 2015 | 86 | |
| 10 | 2020 | 86 | |
| 11 | 2023 | 81 | |
| 12 | 2021 | 79 | |
| 13 | 2020 | 78 | |
| 14 | 2014 | 75 | |
| 15 | 2019 | 70 | |
| 16 | 2016 | 64 | |
| 17 | 2021 | 60 | |
| 18 | 2017 | 59 | |
| 19 | 2019 | 58 | |
| 20 | 2019 | 57 |
About Lin Gui
Lin Gui is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Oncology, Otorhinolaryngology and Computer Networks and Communications, having authored 344 papers that have together received 5.5k indexed citations. Recurring topics across this work include Topic Modeling (59 papers), Sentiment Analysis and Opinion Mining (56 papers), Lymphoma Diagnosis and Treatment (52 papers), Advanced Text Analysis Techniques (38 papers), Text and Document Classification Technologies (22 papers), Viral-associated cancers and disorders (20 papers), Natural Language Processing Techniques (17 papers) and Nanoplatforms for cancer theranostics (17 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Pathology and Forensic Medicine (435 citations), Genetics (231 citations), Otorhinolaryngology (76 citations) and Oncology (395 citations). Lin Gui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ruifeng Xu, Yulan He, Jiachen Du, Bin Ming Liang, Qin Lu, Ruifeng Xu, Erik Cambria, Hang Su, Yu Zhou and Gabriele Pergola. Their work appears in journals such as ACS Applied Nano Materials, IEEE Transactions on Broadcasting, Annals of Hematology, Materials Research Express and IEEE Transactions on Affective Computing.
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.