Nan Mo

607 citations
24 papers · 506 · h-index 15

Impact in

Papers in

Nan Mo

24 papers receiving 498 citations

Peers

Nan Mo
Comparison fields: 5 of 61
  • Media Technology 131
  • Electronic, Optical and Magnetic Materials 189
  • Computer Vision and Pattern Recognition 135
  • Atomic and Molecular Physics, and Optics 188
  • Condensed Matter Physics 36
Replace Renato Martins with:
Renato Martins Brazil
Pingli Han China
Kunyuan Xu China
G.W. Donohoe United States
Yury Berdnikov Russia
Simiao Ren United States
Zhaolou Cao China
Thierry Fournel France
Hong Ji China
Ming Dai China
Nan Mo relative to Renato Martins Brazil Renato Martins's profile →
Citations per field
00.5×2×3.4×
Renato Martins · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200765
2 200848
3 202039
4 201837
5 201935
6 200933
7 200532
8 201927
9 201827
10 200925
11 201920
12 201219
13 201018
14 200917
15 201715
16 202413
17 200710
18 20189
19 20087
20 20184

About Nan Mo

Nan Mo is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Atmospheric Science, having authored 24 papers that have together received 506 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), Image Retrieval and Classification Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Media Technology (131 citations), Electronic, Optical and Magnetic Materials (189 citations), Computer Vision and Pattern Recognition (135 citations), Atomic and Molecular Physics, and Optics (188 citations) and Condensed Matter Physics (36 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, Yi Liu and Yan Li. Their work appears in journals such as Applied Physics Letters, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and Review of Scientific Instruments.

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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