Lang Nie

27 papers and 284 indexed citations i.

About

Lang Nie is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Lang Nie has authored 27 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Lang Nie’s work include Advanced Vision and Imaging (22 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (8 papers). Lang Nie is often cited by papers focused on Advanced Vision and Imaging (22 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (8 papers). Lang Nie collaborates with scholars based in China, Singapore and New Zealand. Lang Nie's co-authors include Chunyu Lin, Yao Zhao, Kang Liao, Shuaicheng Liu, Kang Liao, Chun-Yu Lin, Haoqiang Fan, Xin Li, Fan Yang and Ao Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Lang Nie i

Fields of papers citing papers by Lang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Nie

Since Specialization
Citations

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