Pingping Cao

430 total citations · 1 hit paper
25 papers, 312 citations indexed

About

Pingping Cao is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Pingping Cao has authored 25 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Industrial and Manufacturing Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Pingping Cao's work include Visual Attention and Saliency Detection (4 papers), Multi-Criteria Decision Making (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Pingping Cao is often cited by papers focused on Visual Attention and Saliency Detection (4 papers), Multi-Criteria Decision Making (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Pingping Cao collaborates with scholars based in China and United States. Pingping Cao's co-authors include Mingyang Li, Jiafu Tang, Sheng Liu, Qiang Niu, Chongjun Yan, Yanping Zhu, Baoyu Wang, Yan Liu, Hong‐Wen Gao and Wenzhu Zhao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sustainability.

In The Last Decade

Pingping Cao

21 papers receiving 302 citations

Hit Papers

A novel embedded cross framework for high-resolution sali... 2025 2026 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel embedded cross framework for high-resolution salient object detection
    2025 26 citations Baoyu Wang, Pingping Cao et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingping Cao China 10 84 59 59 35 34 25 312
Sameh Al‐Shihabi Jordan 11 43 0.5× 49 0.8× 11 0.2× 8 0.2× 11 0.3× 34 324
César A. Astudillo Chile 10 40 0.5× 70 1.2× 12 0.2× 52 1.5× 6 0.2× 45 388
Daniel Duque Colombia 12 34 0.4× 13 0.2× 19 0.3× 16 0.5× 10 0.3× 21 379
Maddalena Nonato Italy 13 15 0.2× 28 0.5× 26 0.4× 13 0.4× 22 0.6× 48 505
Levent Erişkin Türkiye 8 53 0.6× 54 0.9× 60 1.0× 9 0.3× 8 0.2× 18 357
Dimitris C. Paraskevopoulos Greece 9 78 0.9× 22 0.4× 60 1.0× 8 0.2× 18 0.5× 11 371
Mostafa Shabani Iran 6 141 1.7× 92 1.6× 24 0.4× 17 0.5× 14 0.4× 14 466
Irène Abi‐Zeid Canada 10 64 0.8× 47 0.8× 26 0.4× 71 2.0× 11 0.3× 35 296
Sergio García United Kingdom 12 53 0.6× 37 0.6× 228 3.9× 7 0.2× 12 0.4× 24 471

Countries citing papers authored by Pingping Cao

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingping Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Cao. A scholar is included among the top collaborators of Pingping Cao 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 Cao. Pingping Cao 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.
Wang, Baoyu, et al.. (2025). A novel embedded cross framework for high-resolution salient object detection. Applied Intelligence. 55(4). 26 indexed citations breakdown →
2.
Wang, Baoyu, et al.. (2025). A novel multi-feature fusion network for semantic segmentation. Signal Image and Video Processing. 19(10).
3.
Cao, Pingping, et al.. (2024). A method for the competitiveness estimation of the incremental new product through user-generated content. Decision Support Systems. 179. 114175–114175. 7 indexed citations
4.
Wang, Baoyu, et al.. (2024). CF‐Net: Cross fusion network for semantic segmentation. IET Image Processing. 18(12). 3587–3599. 1 indexed citations
5.
Cao, Pingping, et al.. (2024). DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection. Journal of Artificial Intelligence Research. 79. 1091–1112. 1 indexed citations
6.
Cao, Pingping, Qiang Niu, Yanping Zhu, & Tao Li. (2024). A Zero-Reference Low-Light Image-Enhancement Approach Based on Noise Estimation. Applied Sciences. 14(7). 2846–2846. 1 indexed citations
7.
Cao, Pingping, et al.. (2023). Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration. Sustainability. 15(15). 11586–11586. 3 indexed citations
8.
Cao, Pingping, et al.. (2023). A Model for the Assignment of Emergency Rescuers Considering Collaborative Information. Sustainability. 15(2). 1203–1203. 4 indexed citations
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Cao, Pingping, et al.. (2022). Applications of graph convolutional networks in computer vision. Neural Computing and Applications. 34(16). 13387–13405. 38 indexed citations
12.
13.
Li, Mingyang, et al.. (2020). Method for Large Group Decision-Making with Multiple Elements Considering Multiple Subgroup Opinions. Journal of Northeastern University. 41(12). 1781.
14.
Cao, Pingping, et al.. (2020). Development of a New Method for Turbidity Measurement Using Two NIR Digital Cameras. ACS Omega. 5(10). 5421–5428. 20 indexed citations
15.
Li, Mingyang, et al.. (2019). A model for assignment of rescuers considering multiple disaster areas. International Journal of Disaster Risk Reduction. 38. 101201–101201. 28 indexed citations
16.
Cao, Pingping, et al.. (2019). Using a Digital Camera Combined With Fitting Algorithm and T-S Fuzzy Neural Network to Determine the Turbidity in Water. IEEE Access. 7. 83589–83599. 9 indexed citations
17.
Li, Mingyang & Pingping Cao. (2018). Extended TODIM method for multi-attribute risk decision making problems in emergency response. Computers & Industrial Engineering. 135. 1286–1293. 87 indexed citations
18.
Cao, Pingping, et al.. (2016). A Study of Decision Making Method for Outpatient Appointment Satisfaction. 19(3). 115. 1 indexed citations
19.
Tang, Jiafu, Chongjun Yan, & Pingping Cao. (2014). Appointment scheduling algorithm considering routine and urgent patients. Expert Systems with Applications. 41(10). 4529–4541. 28 indexed citations
20.
Cao, Pingping & Jiafu Tang. (2014). Hybrid appointment for a single-physician clinic with no-shows and overbooking. 2680–2685. 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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