Peng Han

437 total citations
19 papers, 252 citations indexed

About

Peng Han is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Peng Han has authored 19 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Environmental Engineering. Recurrent topics in Peng Han's work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Peng Han is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Peng Han collaborates with scholars based in China, United States and Germany. Peng Han's co-authors include Zhiwu Lu, Liwei Wang, Xin Gao, Tao Xiang, Zhenyong Fu, Chong Fan, Abolfazl Razi, Liang Cheng, Jonathan Ashdown and Fatemeh Afghah and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Peng Han

14 papers receiving 242 citations

Peers

Peng Han
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 149
  • Artificial Intelligence 67
  • Aerospace Engineering 67
  • Media Technology 49
  • Electrical and Electronic Engineering 29
Replace Heqian Qiu with:
Heqian Qiu China
Alok Kumar Singh Kushwaha India
Bingyi Cao Germany
Shengli Song China
Haicheng Bai China
Daoxun Xia China
Fei Du China
Songlin Dong China
Heqian Qiu China View profile →
Citations per field, relative to Peng Han
Peng Han · 1×
Citations per year, relative to Peng Han
Peng Han · 1×

Countries citing papers authored by Peng Han

Since Specialization
Citations

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

Fields of papers citing papers by Peng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Han

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 4
6 9
7 1
8 3
9 36
10 4
11 1
12 86
13
Weakly supervised matrix factorization for noisily tagged image parsing
10
14 18
15
Method of detecting about unlawful cutting of forest based on audio recognition
0
16 1
17 5
18 57
19 16

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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