Ming Cheng

56 papers and 1.2k indexed citations i.

About

Ming Cheng is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Geology. According to data from OpenAlex, Ming Cheng has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 21 papers in Environmental Engineering and 20 papers in Geology. Recurrent topics in Ming Cheng’s work include Remote Sensing and LiDAR Applications (21 papers), 3D Surveying and Cultural Heritage (20 papers) and Robotics and Sensor-Based Localization (13 papers). Ming Cheng is often cited by papers focused on Remote Sensing and LiDAR Applications (21 papers), 3D Surveying and Cultural Heritage (20 papers) and Robotics and Sensor-Based Localization (13 papers). Ming Cheng collaborates with scholars based in China, Canada and United States. Ming Cheng's co-authors include Jonathan Li, Cheng Wang, Chenglu Wen, Xin Li, Huan Luo, Yiping Chen, Dawei Zai, Shaoyang Chen, Yulan Guo and Qing Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Information Sciences and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Ming Cheng i

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

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