Nengjun Yang

1.3k citations
19 papers · 1.1k · 3 hit papers · h-index 14

Impact in

Papers in

Nengjun Yang

18 papers receiving 1.0k citations

Hit Papers

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification 2023 · 103 citations
1030+1+2Years since publication50100150

Peers

Nengjun Yang
Comparison fields: 5 of 104
  • Media Technology 525
  • Computer Vision and Pattern Recognition 293
  • Atmospheric Science 228
  • Computational Mathematics 4
  • Artificial Intelligence 193
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Liguo Wang China
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Xiaofei Yang China
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Citations per field
00.5×1.5×
Liguo Wang · 1×
Citations per year

Countries citing papers authored by Nengjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nengjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nengjun Yang, 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 Nengjun Yang Line = papers co-authored together Nengjun Yang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification
Hit paper breakdown →
2022171
2 2021133
3
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification
Hit paper breakdown →
2023103
4 202199
5 202192
6 200192
7 202291
8
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification
Hit paper breakdown →
202386
9 201754
10 201926
11 202024
12 200021
13 200315
14 202214
15
Research on Partial Discharge Localization in XLPE Cable Accessories Using Multi-Sensor Joint Detection Technology
20119
16 20179
17 20237
18 20124
19 20191

About Nengjun Yang

Nengjun Yang is a scholar working on Media Technology, Mechanical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers), Aluminum Alloys Composites Properties (4 papers), Face and Expression Recognition (2 papers), Electromagnetic wave absorption materials (2 papers), Advanced Antenna and Metasurface Technologies (2 papers), Geochemistry and Geologic Mapping (2 papers) and Microstructure and mechanical properties (2 papers). The work is most often cited by research in Media Technology (525 citations), Computer Vision and Pattern Recognition (293 citations), Atmospheric Science (228 citations), Computational Mathematics (4 citations) and Artificial Intelligence (193 citations). Nengjun Yang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Ian Sinclair, Julien Boselli, Danfeng Hong, Ying Zhan, Weiwei Cai and Bei Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications, Nanomaterials, IEEE Geoscience and Remote Sensing Letters and IEEE Journal of Selected Topics in Applied Earth Observations 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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