Te Zhang

49 papers and 655 indexed citations i.

About

Te Zhang is a scholar working on Artificial Intelligence, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Te Zhang has authored 49 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Molecular Biology and 11 papers in Organic Chemistry. Recurrent topics in Te Zhang’s work include Catalytic C–H Functionalization Methods (9 papers), Cancer-related molecular mechanisms research (8 papers) and Sulfur-Based Synthesis Techniques (7 papers). Te Zhang is often cited by papers focused on Catalytic C–H Functionalization Methods (9 papers), Cancer-related molecular mechanisms research (8 papers) and Sulfur-Based Synthesis Techniques (7 papers). Te Zhang collaborates with scholars based in China, United Kingdom and Hong Kong. Te Zhang's co-authors include Chunyin Zhu, Qiu‐Yun Chen, Zhaohong Deng, Shitong Wang, Gaochao Dong, Feng Jiang, Kup‐Sze Choi, Qixing Mao, Hao Li and Xuming Song and has published in prestigious journals such as Nature Communications, Chemical Communications and Green Chemistry.

In The Last Decade

Co-authorship network of co-authors of Te Zhang i

Fields of papers citing papers by Te Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Te Zhang

Since Specialization
Citations

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