Yujian Mo
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 7
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Co-authors
- Yan Wu (8 shared papers)Feilin Liu (5 shared papers)Yujun Liao (6 shared papers)Xinneng Yang (3 shared papers)Zhenjie Hou (3 shared papers)Yu Ling (6 shared papers)Yongxiang Huang (4 shared papers)Yingjie Zhang (3 shared papers)
In The Last Decade
Yujian Mo
20 papers receiving 524 citations
Yujian Mo's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 252
- Media Technology 67
- Geology 24
- Industrial and Manufacturing Engineering 42
- Artificial Intelligence 110
Countries citing papers authored by Yujian Mo
This map shows the geographic impact of Yujian Mo'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 Yujian Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujian Mo more than expected).
Fields of papers citing papers by Yujian Mo
This network shows the impact of papers produced by Yujian Mo. 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 Yujian Mo. The network helps show where Yujian Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yujian Mo, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review the state-of-the-art technologies of semantic segmentation based on deep learning Hit paper breakdown → | 2022 | 416 |
| 2 | 2022 | 21 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2015 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Yujian Mo
Yujian Mo is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Plant Science, Artificial Intelligence and Automotive Engineering, having authored 23 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Plant Stress Responses and Tolerance (4 papers), RNA Research and Splicing (4 papers), Human Pose and Action Recognition (3 papers), RNA and protein synthesis mechanisms (3 papers), Plant Molecular Biology Research (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Media Technology (67 citations), Geology (24 citations), Industrial and Manufacturing Engineering (42 citations) and Artificial Intelligence (110 citations). Yujian Mo has collaborated with scholars based in China, Australia and Mexico. Frequent co-authors include Yan Wu, Feilin Liu, Yujun Liao, Xinneng Yang, Zhenjie Hou, Yu Ling, Yongxiang Huang, Yingjie Zhang, Lei Ren and Yueqin Zhang. Their work appears in journals such as IEEE Sensors Journal, Plant Science, Multimedia Systems, Rice and Frontiers in Plant Science.
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.