Ting Nie

64 papers and 1.5k indexed citations i.

About

Ting Nie is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Ting Nie has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Materials Chemistry. Recurrent topics in Ting Nie’s work include Advanced Image Fusion Techniques (10 papers), Infrared Target Detection Methodologies (8 papers) and Image Enhancement Techniques (7 papers). Ting Nie is often cited by papers focused on Advanced Image Fusion Techniques (10 papers), Infrared Target Detection Methodologies (8 papers) and Image Enhancement Techniques (7 papers). Ting Nie collaborates with scholars based in China, United States and Germany. Ting Nie's co-authors include Kristi L. Kiick, Aaron D. Baldwin, Nori Yamaguchi, Xue‐Qing Gong, Robert E. Akins, Zuowei Xie, Chi Wu, Zhaoxin Lu, Yue Zhao and Fanqiang Meng and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Neuroscience.

In The Last Decade

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

Fields of papers citing papers by Ting Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Nie

Since Specialization
Citations

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