Pingping Zhang

6.7k total citations · 5 hit papers
93 papers, 3.7k citations indexed

About

Pingping Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Pingping Zhang has authored 93 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Pingping Zhang's work include Advanced Neural Network Applications (19 papers), Video Surveillance and Tracking Methods (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Pingping Zhang is often cited by papers focused on Advanced Neural Network Applications (19 papers), Video Surveillance and Tracking Methods (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Pingping Zhang collaborates with scholars based in China, Australia and Hong Kong. Pingping Zhang's co-authors include Huchuan Lu, Hongyu Wang, Xiang Ruan, Yinjie Lei, Dong Wang, Wei Liu, Dong Wang, Baocai Yin, Wenhan Yang and Xu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Earth and Planetary Science Letters and Water Resources Research.

In The Last Decade

Pingping Zhang

83 papers receiving 3.7k citations

Hit Papers

Amulet: Aggregating Multi-level Convolutional Features fo... 2017 2026 2020 2023 2017 2022 2017 2017 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingping Zhang China 28 3.2k 670 533 394 274 93 3.7k
Lijun Wang China 24 3.3k 1.0× 482 0.7× 416 0.8× 471 1.2× 94 0.3× 136 4.0k
Jingyi Yu China 37 4.4k 1.4× 817 1.2× 224 0.4× 306 0.8× 223 0.8× 219 5.3k
Jianjun Lei China 35 3.0k 0.9× 762 1.1× 301 0.6× 352 0.9× 105 0.4× 163 3.7k
Zejian Yuan China 20 3.5k 1.1× 354 0.5× 456 0.9× 313 0.8× 245 0.9× 91 3.9k
Qiuping Jiang China 34 3.3k 1.0× 1.4k 2.1× 281 0.5× 412 1.0× 291 1.1× 211 4.4k
Runmin Cong China 38 6.1k 1.9× 2.2k 3.3× 504 0.9× 339 0.9× 206 0.8× 109 6.8k
Federico Perazzi United States 17 3.8k 1.2× 455 0.7× 279 0.5× 312 0.8× 81 0.3× 22 4.0k
Philipp Krähenbühl United States 18 3.8k 1.2× 345 0.5× 254 0.5× 722 1.8× 107 0.4× 25 4.4k

Countries citing papers authored by Pingping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Zhang. A scholar is included among the top collaborators of Pingping Zhang 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 Pingping Zhang. Pingping Zhang 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.
Yuan, Chaoxia, et al.. (2025). Development of an indicator system for solar-induced chlorophyll fluorescence monitoring to enhance early warning of flash drought. Agricultural Water Management. 312. 109397–109397. 2 indexed citations
2.
Sun, Hui, et al.. (2025). Spatial-Frequency Enhanced Mamba for Multi-Modal Image Fusion. IEEE Transactions on Image Processing. 34. 7684–7696.
3.
Cai, Yihua, Kan Zhang, Kuanbo Zhou, et al.. (2025). Removal of dissolved arsenic from deep seawater around hydrothermal vents and seamounts. Earth and Planetary Science Letters. 660. 119351–119351.
5.
Zhang, Min, et al.. (2025). The IRF2-INPP4B pathway is activated in CD4+ T cells and aggravates acute myeloid leukemia development by inhibiting apoptosis. Turkish Journal of Hematology. 42(2). 82–91. 1 indexed citations
6.
Lv, Yongfeng, et al.. (2025). IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification. 29701–29710. 1 indexed citations
7.
Cai, Yanpeng, et al.. (2024). Incorporation crisis lifecycle theory into full-stage flash drought spatio-temporal pattern identification and risk analysis. Journal of Hydrology. 642. 131828–131828. 10 indexed citations
8.
Zhang, Pingping, et al.. (2024). Semaphorin 4A Maintains Trophoblastic Function via Activating the STAT3 Pathway. Biomolecules. 14(7). 826–826.
9.
Xing, Hong-Jie, et al.. (2024). Deep multi-sphere support vector data description based on disentangled representation learning. Pattern Recognition. 156. 110842–110842. 2 indexed citations
10.
Zhang, Pingping, et al.. (2024). TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6764–6772. 18 indexed citations
11.
Zhang, Pingping, et al.. (2024). Multi-Modal Understanding and Generation for Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4384–4396. 1 indexed citations
12.
Zhang, Pingping, et al.. (2024). Other tokens matter: Exploring global and local features of Vision Transformers for Object Re-Identification. Computer Vision and Image Understanding. 244. 104030–104030. 8 indexed citations
13.
Liu, Wei, et al.. (2024). Fast Global Image Smoothing via Quasi Weighted Least Squares. International Journal of Computer Vision. 132(12). 6039–6068. 6 indexed citations
14.
Peng, Duo, Yinjie Lei, Lingqiao Liu, Pingping Zhang, & Jun Liu. (2021). Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Transactions on Image Processing. 30. 6594–6608. 59 indexed citations
15.
Zhang, Pingping, Wei Liu, Yinjie Lei, Hongyu Wang, & Huchuan Lu. (2020). RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing. IEEE Transactions on Image Processing. 29. 5010–5021. 27 indexed citations
16.
Chen, Miaomiao, et al.. (2020). RGB‐D salient object detection via deep fusion of semantics and details. Computer Animation and Virtual Worlds. 31(4-5). 4 indexed citations
17.
Zhang, Pingping, Wei Liu, Yinjie Lei, Hongyu Wang, & Huchuan Lu. (2020). Deep Multiphase Level Set for Scene Parsing. IEEE Transactions on Image Processing. 29. 4556–4567. 19 indexed citations
18.
Lei, Yinjie, et al.. (2019). Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Pattern Recognition. 96. 106981–106981. 31 indexed citations
19.
Zhang, Pingping. (2012). Characteristic of gas mixing in two-dimensional dual-leg fluidized bed. Huagong xuebao. 2 indexed citations
20.
Wu, Junliang, Pingping Zhang, & Yong Wang. (2011). THE LOCATION FOR EIGENVALUES OF COMPLEX MATRICES BY A NUMERICAL METHOD. Journal of applied mathematics & informatics. 29. 49–53. 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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