Lingfeng Yang

1.3k total citations · 1 hit paper
32 papers, 801 citations indexed

About

Lingfeng Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Lingfeng Yang has authored 32 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Mechanics of Materials. Recurrent topics in Lingfeng Yang's work include Energetic Materials and Combustion (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (4 papers). Lingfeng Yang is often cited by papers focused on Energetic Materials and Combustion (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (4 papers). Lingfeng Yang collaborates with scholars based in China, United States and Australia. Lingfeng Yang's co-authors include Pat Hanrahan, Noah D. Goodman, Xiang Li, Jerry O. Talton, Zhao Hui, Jian Yang, Yi‐Ting Yeh, Wenhai Wang, Gang Li and Daniel Gibson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

In The Last Decade

Lingfeng Yang

29 papers receiving 773 citations

Hit Papers

Generalized Focal Loss: Towards Efficient Representation ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingfeng Yang China 13 328 155 140 115 83 32 801
Guiqing Li China 19 600 1.8× 264 1.7× 346 2.5× 182 1.6× 168 2.0× 120 1.6k
Mingtao Feng China 17 461 1.4× 173 1.1× 169 1.2× 40 0.3× 48 0.6× 63 909
Kwang Hee Ko South Korea 15 231 0.7× 67 0.4× 225 1.6× 60 0.5× 63 0.8× 87 829
Tao Wu China 16 262 0.8× 97 0.6× 63 0.5× 20 0.2× 65 0.8× 84 936
Adriana Schulz United States 15 193 0.6× 78 0.5× 249 1.8× 109 0.9× 15 0.2× 47 675
Xinrong Hu China 16 273 0.8× 85 0.5× 38 0.3× 24 0.2× 99 1.2× 127 830
Jun Xing China 14 352 1.1× 79 0.5× 164 1.2× 115 1.0× 95 1.1× 44 682
Miguel Ángel Bautista Spain 13 324 1.0× 232 1.5× 35 0.3× 37 0.3× 49 0.6× 17 735
Peng Song China 20 414 1.3× 55 0.4× 429 3.1× 170 1.5× 27 0.3× 85 1.4k

Countries citing papers authored by Lingfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingfeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingfeng Yang. A scholar is included among the top collaborators of Lingfeng 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 Lingfeng Yang. Lingfeng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xi, Min, Anran Chen, Lingfeng Yang, et al.. (2025). Effective hydrogen evolution enabled by heterogeneous interface engineering in bimetallic sulfide with MoNi alloy. Rare Metals. 44(5). 3094–3106. 16 indexed citations
2.
Yang, Lingfeng, Jie Chen, Yaofeng Mao, et al.. (2025). Bio-inspired multi-scale coupling for customized mechanical properties in highly particle-filled composites. Composites Part B Engineering. 306. 112839–112839.
3.
Li, Zheng, Xiang Li, Lingfeng Yang, et al.. (2024). Dual teachers for self-knowledge distillation. Pattern Recognition. 151. 110422–110422. 16 indexed citations
4.
Xi, Min, Hua Zhang, Lingfeng Yang, et al.. (2024). Electronic Structure Engineering of Single‐Atom Tungsten on Vacancy‐enriched V 3 S 4 Nanosheets for Efficient Hydrogen Evolution. Advanced Science. 12(1). e2409855–e2409855. 10 indexed citations
5.
Yang, Lingfeng, et al.. (2024). Fine-Grained Visual Text Prompting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1594–1609. 1 indexed citations
7.
Li, Zheng, Xiang Li, Lingfeng Yang, et al.. (2023). Curriculum Temperature for Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1504–1512. 75 indexed citations
8.
Zhao, Shuwen, Lingfeng Yang, Yifan Zhao, et al.. (2023). Preparation of Graphene/Si/C composite nanolayer electrodes by magnetron sputtering and study on lithium storage properties. Chemical Physics Impact. 6. 100166–100166. 3 indexed citations
10.
Li, Xiang, et al.. (2022). Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–14. 139 indexed citations breakdown →
11.
Weiss, Tracey, Dena Rosen Ramey, Lingfeng Yang, et al.. (2022). Medication use by US patients with pulmonary hypertension associated with chronic obstructive pulmonary disease: a retrospective study of administrative data. BMC Pulmonary Medicine. 22(1). 383–383. 1 indexed citations
12.
Greene, Stephen J., Dominik Lautsch, Lingfeng Yang, Xi Tan, & Joanne E. Brady. (2022). Prognostic Interplay Between COVID-19 and Heart Failure With Reduced Ejection Fraction. Journal of Cardiac Failure. 28(8). 1287–1297. 12 indexed citations
13.
Yang, Lingfeng, Xiang Li, Renjie Song, et al.. (2022). Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10935–10944. 27 indexed citations
14.
Yang, Lingfeng, et al.. (2021). Effect of 3-methyl-4-nitro-furoxan on morphology, thermal stability, rheological and mechanical properties of nitrocellulose (NC)-based energetic materials. SHILAP Revista de lepidopterología. 1(2). 90–96. 8 indexed citations
15.
Yang, Lingfeng, et al.. (2021). Microfluidic assisted 90% loading CL-20 spherical particles: Enhancing self-sustaining combustion performance. Defence Technology. 22. 176–184. 25 indexed citations
16.
Wu, Bo, et al.. (2021). Facile synthesis of 4-amino-3,5-dinitropyrazolated energetic derivatives via 4-bromopyrazole and their performances. SHILAP Revista de lepidopterología. 1(2). 76–82. 12 indexed citations
17.
Yang, Lingfeng, Mugen Peng, Shi Yan, et al.. (2015). Ergodic Rate Analysis for User Access in Downlink Heterogeneous Cloud Radio Access Networks. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 5 indexed citations
18.
Yang, Lingfeng, Patrick Hanrahan, & Noah D. Goodman. (2014). Generating Efficient MCMC Kernels from Probabilistic Programs. International Conference on Artificial Intelligence and Statistics. 1068–1076. 8 indexed citations
19.
Yeh, Yi‐Ting, et al.. (2012). Synthesizing open worlds with constraints using locally annealed reversible jump MCMC. ACM Transactions on Graphics. 31(4). 1–11. 95 indexed citations
20.
Talton, Jerry O., Daniel Gibson, Lingfeng Yang, Pat Hanrahan, & Vladlen Koltun. (2009). Exploratory modeling with collaborative design spaces. ACM Transactions on Graphics. 28(5). 1–10. 87 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.

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