Junjun Guo
Impact in
- Nuclear Energy and Engineering top 10%
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- Recycling and Waste Management Techniques
- Municipal Solid Waste Management
Papers in
-
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 3
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 2
- Co-authors
- Benjamin Bernard Uzoejinwa (1 shared paper)Chuan Yuan (1 shared paper)Lili Qian (1 shared paper)Abd El‐Fatah Abomohra (1 shared paper)Lu Liu (1 shared paper)Zhixia He (1 shared paper)Qian Wang (1 shared paper)Shuang Wang (1 shared paper)
In The Last Decade
Junjun Guo
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 106
- Nuclear Energy and Engineering 9
- Industrial and Manufacturing Engineering 50
- Rehabilitation 23
- Pollution 36
- Polymers and Plastics 39
Countries citing papers authored by Junjun Guo
This map shows the geographic impact of Junjun Guo'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 Junjun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Guo more than expected).
Fields of papers citing papers by Junjun Guo
This network shows the impact of papers produced by Junjun Guo. 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 Junjun Guo. The network helps show where Junjun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun Guo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2022 | 44 | |
| 3 | 2010 | 24 | |
| 4 | 2024 | 20 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Junjun Guo
Junjun Guo is a scholar working on Artificial Intelligence, Molecular Biology, Obstetrics and Gynecology, Polymers and Plastics and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 348 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Pregnancy and preeclampsia studies (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Text and Document Classification Technologies (3 papers), Natural Language Processing Techniques (3 papers), MicroRNA in disease regulation (2 papers), Birth, Development, and Health (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (9 citations), Industrial and Manufacturing Engineering (50 citations), Rehabilitation (23 citations), Pollution (36 citations) and Polymers and Plastics (39 citations). Junjun Guo has collaborated with scholars based in China, Pakistan and Egypt. Frequent co-authors include Benjamin Bernard Uzoejinwa, Chuan Yuan, Lili Qian, Abd El‐Fatah Abomohra, Lu Liu, Zhixia He, Qian Wang, Shuang Wang, Bin Cao and Yangkai Sun. Their work appears in journals such as Frontiers in Immunology, Prion, Scientific Reports, International Journal of Machine Learning and Cybernetics and Cell Calcium.
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.