Yujian Mo

748 citations
21 papers · 498 · 1 hit paper · h-index 7

Impact in

Papers in

Yujian Mo

20 papers receiving 485 citations

Yujian Mo's Hit Papers

Review the state-of-the-art technologies of semantic segmentation based on deep learning 2022 · 396 citations
3960+1+2Years since publication100200300

Peers

Yujian Mo
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 242
  • Media Technology 65
  • Industrial and Manufacturing Engineering 40
  • Geology 21
  • Artificial Intelligence 110
Replace Yujun Liao with:
Yujun Liao China
Xinneng Yang China
Fahad Lateef France
Zhenhang Huang China
Zhiqi Li China
Yanfei Chen China
Shuang Bai China
Kunyang Sun China
Bowen Cheng United States
Yujian Mo relative to Yujun Liao China Yujun Liao's profile →
Citations per field
00.5×1.5×
Yujun Liao · 1×
Citations per year

Countries citing papers authored by Yujian Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yujian Mo Line = papers co-authored together Yujian Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 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 →
2022396
2 202218
3 202213
4 202112
5 202311
6 20237
7 20227
8 20245
9 20225
10 20244
11 20234
12 20154
13 20242
14 20192
15 20242
16 20222
17 20251
18 20241
19 20221
20 20221

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 21 papers that have together received 498 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), RNA Research and Splicing (4 papers), Plant Stress Responses and Tolerance (4 papers), RNA and protein synthesis mechanisms (3 papers), Human Pose and Action Recognition (3 papers), RNA modifications and cancer (3 papers), Plant Molecular Biology Research (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (242 citations), Media Technology (65 citations), Industrial and Manufacturing Engineering (40 citations), Geology (21 citations) and Artificial Intelligence (110 citations). Yujian Mo has collaborated with scholars based in China, Australia and Mexico. Frequent co-authors include Yan Wu, Xinneng Yang, Yujun Liao, Feilin Liu, Zhenjie Hou, Yu Ling, Yongxiang Huang, Lei Ren, Yi Zhang and Shiyun Chen. Their work appears in journals such as IEEE Sensors Journal, Neurocomputing, Scientific Reports, Planta and Rice.

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.

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