Cong Leng

13 papers and 349 indexed citations i.

About

Cong Leng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Cong Leng has authored 13 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in Cong Leng’s work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Granular flow and fluidized beds (3 papers). Cong Leng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Granular flow and fluidized beds (3 papers). Cong Leng collaborates with scholars based in China and United States. Cong Leng's co-authors include Jian Cheng, Jiaxiang Wu, Hao Li, Rong Jin, Shenghuo Zhu, Hanqing Lu, Hainan Cui, Yuhang Wang, Qinghao Hu and Peng Li and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Powder Technology and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Cong Leng i

Fields of papers citing papers by Cong Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Leng

Since Specialization
Citations

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

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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2025