Nengjun Yang

1.3k total citations · 3 hit papers
19 papers, 1.1k citations indexed

About

Nengjun Yang is a scholar working on Media Technology, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Nengjun Yang has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 5 papers in Mechanical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Nengjun Yang's work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers) and Aluminum Alloys Composites Properties (4 papers). Nengjun Yang is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers) and Aluminum Alloys Composites Properties (4 papers). Nengjun Yang collaborates with scholars based in China, United Kingdom and Hong Kong. Nengjun Yang's co-authors include Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Ian Sinclair, Julien Boselli, Danfeng Hong, Ying Zhan, Weiwei Cai and Bei Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Nengjun Yang

18 papers receiving 1.0k citations

Hit Papers

Multi-feature fusion: Graph neural network and CNN combin... 2022 2026 2023 2024 2022 2023 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nengjun Yang China 14 525 293 228 193 122 19 1.1k
Xiaofei Yang China 18 794 1.5× 410 1.4× 402 1.8× 216 1.1× 35 0.3× 98 1.8k
Xuming Zhang China 20 487 0.9× 661 2.3× 122 0.5× 185 1.0× 79 0.6× 93 1.2k
Jin Zhao China 22 411 0.8× 484 1.7× 93 0.4× 182 0.9× 47 0.4× 74 1.6k
Jian Cheng China 19 292 0.6× 661 2.3× 63 0.3× 203 1.1× 47 0.4× 104 1.2k
Rong Liu China 19 493 0.9× 362 1.2× 253 1.1× 134 0.7× 28 0.2× 78 1.4k
Feng Zhou China 23 704 1.3× 494 1.7× 377 1.7× 123 0.6× 225 1.8× 79 1.9k
Liangpei Zhang China 13 945 1.8× 412 1.4× 509 2.2× 165 0.9× 63 0.5× 17 1.3k
Qizhi Xu China 21 974 1.9× 806 2.8× 248 1.1× 134 0.7× 29 0.2× 70 1.8k

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-authorship network of co-authors of Nengjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Nengjun Yang. A scholar is included among the top collaborators of Nengjun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nengjun Yang. Nengjun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ding, Yao, Zhili Zhang, Xiaofeng Zhao, et al.. (2023). Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification. Expert Systems with Applications. 223. 119858–119858. 103 indexed citations breakdown →
2.
3.
Zhang, Zhili, Yao Ding, Xiaofeng Zhao, et al.. (2023). Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. Expert Systems with Applications. 217. 119508–119508. 86 indexed citations breakdown →
4.
Ding, Yao, Zhili Zhang, Xiaofeng Zhao, et al.. (2022). Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification. Neurocomputing. 501. 246–257. 171 indexed citations breakdown →
5.
Ding, Yao, Zhili Zhang, Xiaofeng Zhao, et al.. (2022). Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 91 indexed citations
6.
Bi, Song, et al.. (2022). Lightweight and Compression-Resistant Carbon-Based Sandwich Honeycomb Absorber with Excellent Electromagnetic Wave Absorption. Nanomaterials. 12(15). 2622–2622. 14 indexed citations
7.
Ding, Yao, Xiaofeng Zhao, Zhili Zhang, Wei Cai, & Nengjun Yang. (2021). Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 92 indexed citations
8.
Ding, Yao, Xiaofeng Zhao, Zhili Zhang, Wei Cai, & Nengjun Yang. (2021). Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 4561–4572. 99 indexed citations
9.
Ding, Yao, Xiaofeng Zhao, Zhili Zhang, et al.. (2021). Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 133 indexed citations
10.
Huang, Shaohua, et al.. (2020). A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. Journal of Intelligent Manufacturing. 32(7). 1845–1861. 24 indexed citations
11.
Yang, Nengjun, et al.. (2019). Stainless Steel Welding and Development Trend of Welding Technology. IOP Conference Series Earth and Environmental Science. 252. 22117–22117. 1 indexed citations
12.
Fang, Weiguang, Yu Guo, Liao Wen-he, et al.. (2019). A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system. Computers & Industrial Engineering. 140. 106246–106246. 26 indexed citations
13.
Ng, Charles Wang Wai, et al.. (2017). Influence of particle size on the mechanism of dry granular run-up on a rigid barrier. Géotechnique Letters. 7(1). 79–89. 54 indexed citations
14.
Yang, Nengjun, Peyman Saidi, Mark R. Daymond, & J.J. Hoyt. (2017). Modeling of particle coarsening and precipitation free zones. Modelling and Simulation in Materials Science and Engineering. 25(8). 85012–85012. 9 indexed citations
15.
16.
Wu, Zheng, et al.. (2011). Research on Partial Discharge Localization in XLPE Cable Accessories Using Multi-Sensor Joint Detection Technology. PRZEGLĄD ELEKTROTECHNICZNY. 281–284. 9 indexed citations
17.
Yang, Nengjun & Ian Sinclair. (2003). Fatigue crack growth in a particulate TiB2-reinforced powder metallurgy iron-based composite. Metallurgical and Materials Transactions A. 34(9). 2017–2024. 15 indexed citations
18.
Yang, Nengjun, Julien Boselli, & Ian Sinclair. (2001). Simulation and quantitative assessment of homogeneous and inhomogeneous particle distributions in particulate metal matrix composites. Journal of Microscopy. 201(2). 189–200. 92 indexed citations
19.
Yang, Nengjun, Julien Boselli, P.J. Gregson, & Ian Sinclair. (2000). Simulation and quantitative assessment of finitesize particle distributions in metal matrix composites. Materials Science and Technology. 16(7-8). 797–805. 21 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026