Ping Luo

547 total citations · 1 hit paper
10 papers, 136 citations indexed

About

Ping Luo is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Signal Processing. According to data from OpenAlex, Ping Luo has authored 10 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Ping Luo's work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Malware Detection Techniques (2 papers) and Natural Language Processing Techniques (1 paper). Ping Luo is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Malware Detection Techniques (2 papers) and Natural Language Processing Techniques (1 paper). Ping Luo collaborates with scholars based in China, Hong Kong and Macao. Ping Luo's co-authors include Wenhai Wang, Sen Xing, Lewei Lu, Yifeng Dai, Jiannan Wu, Qinglong Zhang, Zhe Chen, Bin Li, Weijie Su and Tong Lü and has published in prestigious journals such as International Journal of Computer Vision, BMJ Open and Biomedical Optics Express.

In The Last Decade

Ping Luo

10 papers receiving 130 citations

Hit Papers

Intern VL: Scaling up Vision Foundation Models and Aligni... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Luo China 5 61 49 14 11 8 10 136
Leonard Lausen United States 3 50 0.8× 61 1.2× 7 0.5× 8 0.7× 4 0.5× 5 127
Zachary Nado United States 3 33 0.5× 74 1.5× 6 0.4× 6 0.5× 4 0.5× 3 102
Tiago S. Nazaré Brazil 4 87 1.4× 53 1.1× 6 0.4× 10 0.9× 4 0.5× 7 146
Seongwon Lee South Korea 9 201 3.3× 77 1.6× 14 1.0× 5 0.5× 7 0.9× 28 272
Jinnian Zhang China 6 62 1.0× 36 0.7× 4 0.3× 12 1.1× 2 0.3× 9 125
Zikang Liu China 3 61 1.0× 56 1.1× 10 0.7× 6 0.5× 1 0.1× 11 105
Lianlei Shan China 9 69 1.1× 40 0.8× 8 0.6× 5 0.5× 4 0.5× 17 137
László Lefkovits Romania 7 106 1.7× 43 0.9× 26 1.9× 13 1.2× 2 0.3× 24 165
Liangchen Luo China 4 53 0.9× 134 2.7× 7 0.5× 5 0.5× 3 0.4× 7 177
V. Vijaya Kumar India 10 281 4.6× 26 0.5× 19 1.4× 10 0.9× 2 0.3× 60 323

Countries citing papers authored by Ping Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Luo

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

All Works

10 of 10 papers shown
1.
Shao, Wenqi, et al.. (2025). DCP: Learning Accelerator Dataflow for Neural Networks via Propagation. Electronics. 14(15). 3085–3085. 1 indexed citations
2.
Ren, Jiawei, Yuren Cong, Sen He, et al.. (2024). GenTron: Diffusion Transformers for Image and Video Generation. 6441–6451. 6 indexed citations
3.
Chen, Zhe, Jiannan Wu, Wenhai Wang, et al.. (2024). Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. 24185–24198. 105 indexed citations breakdown →
4.
Mei, Liye, Haoran Peng, Ping Luo, et al.. (2024). Adversarial training collaborating hybrid convolution-transformer network for automatic identification of reactive lymphocytes in peripheral blood. Biomedical Optics Express. 15(9). 5143–5143. 2 indexed citations
6.
Wang, Zhouxia, Xintao Wang, Liangbin Xie, et al.. (2024). StyleAdapter: A Unified Stylized Image Generation Model. International Journal of Computer Vision. 133(4). 1894–1911. 5 indexed citations
7.
Akram, Junaid, Danish Vasan, & Ping Luo. (2022). Obfuscated code is identifiable by a token-based code clone detection technique. International Journal of Information and Computer Security. 19(3/4). 254–254. 1 indexed citations
8.
Akram, Junaid, Majid Mumtaz, Gul Jabeen, & Ping Luo. (2021). DroidMD: an efficient and scalable Android malware detection approach at source code level. International Journal of Information and Computer Security. 15(2/3). 299–299. 7 indexed citations
9.
Li, Jia, Xiulei Wang, Xiaoju Wang, et al.. (2020). Construction progress of camera-trapping database from the Nature Reserves Biological Specimen Resources Sharing Sub-platform. Biodiversity Science. 28(9). 1081–1089. 7 indexed citations
10.
Shen, Wei, Jianyong Wang, Ping Luo, & Min Wang. (2012). APOLLO. 595–596. 1 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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