Peng Qiao

1.4k total citations · 1 hit paper
62 papers, 824 citations indexed

About

Peng Qiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peng Qiao has authored 62 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peng Qiao's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (7 papers) and Human Pose and Action Recognition (6 papers). Peng Qiao is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (7 papers) and Human Pose and Action Recognition (6 papers). Peng Qiao collaborates with scholars based in China, United Kingdom and United States. Peng Qiao's co-authors include Qingqi Pei, Bin Liu, Chen Chen, Shaohua Wan, Yong Dou, Dongsheng Li, Ke Yang, Yunjin Chen, Shaohe Lv and Yakun Wan and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Sensors and ACM Computing Surveys.

In The Last Decade

Peng Qiao

55 papers receiving 808 citations

Hit Papers

An Edge Traffic Flow Detection Scheme Based on Deep Learn... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Qiao China 14 317 152 99 84 80 62 824
Yunpeng Wang China 16 401 1.3× 117 0.8× 36 0.4× 41 0.5× 126 1.6× 66 1.1k
Haigen Hu China 18 283 0.9× 342 2.3× 55 0.6× 73 0.9× 84 1.1× 61 1.1k
Santa Di Cataldo Italy 17 211 0.7× 290 1.9× 46 0.5× 129 1.5× 35 0.4× 48 862
Tsubasa Hirakawa Japan 13 403 1.3× 314 2.1× 39 0.4× 56 0.7× 47 0.6× 68 1.3k
Jinhua Wang China 12 152 0.5× 263 1.7× 47 0.5× 163 1.9× 66 0.8× 96 838
Jitendra V. Tembhurne India 13 432 1.4× 402 2.6× 26 0.3× 63 0.8× 76 0.9× 42 1.4k
Dat Tien Nguyen South Korea 20 509 1.6× 270 1.8× 57 0.6× 100 1.2× 73 0.9× 64 1.1k
Tausif Diwan India 9 374 1.2× 356 2.3× 25 0.3× 36 0.4× 68 0.8× 26 1.2k
Liang Zhao China 21 542 1.7× 58 0.4× 37 0.4× 139 1.7× 127 1.6× 125 1.5k

Countries citing papers authored by Peng Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qiao. A scholar is included among the top collaborators of Peng Qiao 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 Qiao. Peng Qiao 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.
Hunter, Ruth F., Claire Cleland, Sara Ferguson, et al.. (2025). Built environment influences on park visits for older adults: insights from a machine learning approach. Cities. 165. 106143–106143. 5 indexed citations
2.
Xu, Kele, et al.. (2025). Segment Anything for Visual Bird Sound Denoising. IEEE Signal Processing Letters. 32. 1076–1080.
3.
Huang, Ziqing, et al.. (2024). Socioecological justice in urban street greenery based on green view index-A case study within the Fuzhou Third Ring Road. Urban forestry & urban greening. 95. 128313–128313. 15 indexed citations
4.
Xu, Xin, et al.. (2024). Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey. ACM Computing Surveys. 57(4). 1–35. 4 indexed citations
5.
Wang, Zhifeng, Jiaxin Liu, Xiaoming Wang, et al.. (2024). Glycosyltransferase B4GALNT1 promotes immunosuppression in hepatocellular carcinoma via the HES4-SPP1-TAM/Th2 axis. Molecular Biomedicine. 5(1). 65–65. 3 indexed citations
6.
Gao, Hang, et al.. (2024). Introducing diminutive causal structure into graph representation learning. Knowledge-Based Systems. 293. 111592–111592. 3 indexed citations
8.
Hu, Jun, et al.. (2024). Research on Deep Learning Detection Model for Pedestrian Objects in Complex Scenes Based on Improved YOLOv7. Sensors. 24(21). 6922–6922. 2 indexed citations
9.
Xu, Jinghai, et al.. (2024). A real scene 3D Model-Driven sunlight analysis method for complex building roofs. Energy and Buildings. 325. 115051–115051.
10.
Xu, Jinghai, et al.. (2023). Emergency evacuation shelter management and online drill method driven by real scene 3D model. International Journal of Disaster Risk Reduction. 97. 104057–104057. 7 indexed citations
11.
Liu, Lulu, Pan Li, Rui Qin, et al.. (2023). Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients. Journal of Experimental & Clinical Cancer Research. 42(1). 152–152. 13 indexed citations
12.
Qiao, Peng, et al.. (2022). Effects of Escin on Oxidative Stress and Apoptosis of H9c2 Cells Induced by H2O2. Disease Markers. 2022. 1–12. 8 indexed citations
13.
Dou, Yong, et al.. (2021). Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. The Visual Computer. 38(3). 897–917. 13 indexed citations
14.
Wu, Yongjian, Ting Wang, Dawei Zhang, et al.. (2020). Plasminogen improves lung lesions and hypoxemia in patients with COVID-19. QJM. 113(8). 539–545. 54 indexed citations
15.
Qiao, Peng, et al.. (2020). Rethinking Segmentation Guidance for Weakly Supervised Object Detection. 4069–4073. 16 indexed citations
16.
Yang, Ke, Peng Qiao, Dongsheng Li, Shaohe Lv, & Yong Dou. (2017). TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.. arXiv (Cornell University). 1 indexed citations
17.
Wu, Caicong, et al.. (2016). Addressing Uncertainty in Temporal and Spatial Scheduling for Farm Machinery Operation. 7(1). 32–40. 3 indexed citations
18.
Qiao, Peng, et al.. (2012). Study of Nuclear Power Plant Expert System Based on Fuzzy Petri Net Reasoning. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 46. 356–360.
19.
Qiao, Peng, et al.. (2012). Application of fuzzy Petri net in nuclear power plant. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 46(10). 1249–1253. 1 indexed citations
20.
Qiao, Peng. (2007). Manifestation and diagnostic value of the vascular convergence sign of peripheral pulmonary cancer on MPR with spiral CT.

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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