Nan Mo

596 citations
23 papers · 477 · h-index 15

Impact in

Papers in

Nan Mo

23 papers receiving 470 citations

Peers

Nan Mo
Comparison fields: 5 of 59
  • Media Technology 126
  • Electronic, Optical and Magnetic Materials 188
  • Computer Vision and Pattern Recognition 126
  • Atomic and Molecular Physics, and Optics 179
  • Condensed Matter Physics 34
Replace Pingli Han with:
Pingli Han China
Kunyuan Xu China
G.W. Donohoe United States
Zhaolou Cao China
Yuegang Fu China
Thierry Fournel France
Hang Gong China
Lintao Peng United States
Mingjing Zhao China
Shiqi Huang China
Nan Mo relative to Pingli Han China Pingli Han's profile →
Citations per field
00.5×1.5×2.4×
Pingli Han · 1×
Citations per year

Countries citing papers authored by Nan Mo

Since Specialization
Citations

This map shows the geographic impact of Nan 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 Nan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Mo more than expected).

Fields of papers citing papers by Nan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan 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 Nan Mo. The network helps show where Nan Mo may publish in the future.

Co-authors

The 22 scholars most cited alongside Nan 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 Nan Mo Line = papers co-authored together Nan Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200762
2 200848
3 202037
4 201835
5 200933
6 201933
7 200532
8 201827
9 201926
10 200924
11 201219
12 201018
13 200917
14 201915
15 201715
16 20079
17 20189
18 20248
19 20184
20 20202

About Nan Mo

Nan Mo is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Magnetic properties of thin films (7 papers), Magnetic Properties and Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), Magneto-Optical Properties and Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Media Technology (126 citations), Electronic, Optical and Magnetic Materials (188 citations), Computer Vision and Pattern Recognition (126 citations), Atomic and Molecular Physics, and Optics (179 citations) and Condensed Matter Physics (34 citations). Nan Mo has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Carl E. Patton, Pavol Krivošı́k, Li Yan, Sangita S. Kalarickal, Yi Liu, Yan Li, Young‐Yeal Song, Zhao Zhan, Yan Li and Yi Liu. Their work appears in journals such as Applied Physics Letters, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Applied Physics and IEEE Transactions on Geoscience and Remote Sensing.

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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