Peng Lu

525 total citations
36 papers, 264 citations indexed

About

Peng Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Peng Lu has authored 36 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Peng Lu's work include Image Enhancement Techniques (9 papers), Visual Attention and Saliency Detection (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Peng Lu is often cited by papers focused on Image Enhancement Techniques (9 papers), Visual Attention and Saliency Detection (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Peng Lu collaborates with scholars based in China, United States and Singapore. Peng Lu's co-authors include Xujun Peng, Xiaojie Wang, Ruifan Li, Yanwei Fu, Hao Zhang, Xiangyang Xue, Yu–Gang Jiang, Shaogang Gong, Yixin Zhong and Xiang Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Pattern Recognition.

In The Last Decade

Peng Lu

29 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Lu China 11 185 38 33 26 25 36 264
Daniel Tretter United States 10 304 1.6× 50 1.3× 20 0.6× 13 0.5× 23 0.9× 45 357
Noura A. Semary Egypt 11 157 0.8× 49 1.3× 50 1.5× 12 0.5× 16 0.6× 34 298
Pamela McCauley United States 8 68 0.4× 34 0.9× 25 0.8× 8 0.3× 28 1.1× 11 205
Damien Muselet France 10 276 1.5× 76 2.0× 64 1.9× 44 1.7× 7 0.3× 34 358
Yong-Goo Shin South Korea 10 282 1.5× 37 1.0× 32 1.0× 8 0.3× 5 0.2× 34 351
Marguerite Moore United States 5 297 1.6× 85 2.2× 19 0.6× 13 0.5× 6 0.2× 7 367
Sanjay Ghosh India 11 156 0.8× 74 1.9× 32 1.0× 8 0.3× 4 0.2× 29 243
Yogesh Raja United Kingdom 4 439 2.4× 41 1.1× 66 2.0× 33 1.3× 12 0.5× 5 502
Sungjoo Suh South Korea 9 287 1.6× 31 0.8× 24 0.7× 9 0.3× 3 0.1× 24 353
Shigeyuki Sakazawa Japan 9 212 1.1× 27 0.7× 16 0.5× 11 0.4× 5 0.2× 59 238

Countries citing papers authored by Peng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Lu. A scholar is included among the top collaborators of Peng Lu 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 Peng Lu. Peng Lu 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.
Lu, Peng, et al.. (2025). Learnable adaptive bilateral filter for improved generalization in Single Image Super-Resolution. Pattern Recognition. 162. 111396–111396. 2 indexed citations
2.
3.
Lu, Peng, Hang Li, & Lingling Wang. (2025). A Stock Price Prediction Model Based on VMD-SSA-LSTM. 337–341.
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6.
Lu, Peng, et al.. (2024). Hierarchical Color Fusion Network (HCFN): Enhancing exemplar-based video colorization. Neurocomputing. 598. 128121–128121.
7.
Lu, Peng, et al.. (2020). Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping. IEEE Transactions on Multimedia. 23. 3618–3630. 14 indexed citations
8.
Lu, Peng, Jiahui Liu, Xujun Peng, & Xiaojie Wang. (2020). Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions. 120–128. 7 indexed citations
9.
Lu, Peng, et al.. (2020). Gray2ColorNet: Transfer More Colors from Reference Image. 3210–3218. 31 indexed citations
10.
Fu, Yanwei, et al.. (2019). TC-Net for iSBIR. Queen Mary Research Online (Queen Mary University of London). 1676–1684. 35 indexed citations
11.
Lu, Peng, et al.. (2018). Gated CNN for visual quality assessment based on color perception. Signal Processing Image Communication. 72. 105–112. 9 indexed citations
12.
Lu, Peng, et al.. (2018). Deep Conditional Color Harmony Model for Image Aesthetic Assessment. 2845–2850. 2 indexed citations
13.
Hu, Tao, et al.. (2018). Sobel Heuristic Kernel for Aerial Semantic Segmentation. 3074–3078. 9 indexed citations
14.
Lu, Peng, Xujun Peng, Caixia Yuan, Ruifan Li, & Xiaojie Wang. (2016). Image color harmony modeling through neighbored co-occurrence colors. Neurocomputing. 201. 82–91. 9 indexed citations
15.
Lu, Peng, Xujun Peng, Ruifan Li, & Xiaojie Wang. (2015). Towards aesthetics of image: A Bayesian framework for color harmony modeling. Signal Processing Image Communication. 39. 487–498. 14 indexed citations
16.
Yuan, Ding, Yanquan Zhou, Ruifan Li, & Peng Lu. (2014). Sentiment analysis of microblog combining dictionary and rules. 785–789. 1 indexed citations
17.
., Liu, Jie Jie, Ma -, et al.. (2012). Chinese Fuzzy Ontology Mapping Based on Support Vector Machine. 中国通信. 9(3). 134–144. 1 indexed citations
18.
Li, Xiaoxu, et al.. (2012). Simultaneous image classification and annotation based on probabilistic model. The Journal of China Universities of Posts and Telecommunications. 19(2). 107–115. 7 indexed citations
19.
Wang, Xiaojie, et al.. (2011). Traffic signs recognition based on visual attention mechanism. The Journal of China Universities of Posts and Telecommunications. 18. 12–16. 14 indexed citations
20.

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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