Teng Zhang

60 total papers · 5.2k total citations
50 papers, 4.7k citations indexed

About

Teng Zhang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Teng Zhang has authored 50 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 25 papers in Polymers and Plastics. Recurrent topics in Teng Zhang's work include Perovskite Materials and Applications (36 papers), Conducting polymers and applications (23 papers) and Quantum Dots Synthesis And Properties (17 papers). Teng Zhang is often cited by papers focused on Perovskite Materials and Applications (36 papers), Conducting polymers and applications (23 papers) and Quantum Dots Synthesis And Properties (17 papers). Teng Zhang collaborates with scholars based in China, Hong Kong and United States. Teng Zhang's co-authors include Yang Bai, Shuang Xiao, Shihe Yang, Chen Hu, Haining Chen, Zonglong Zhu, Xiangyue Meng, Xia Long, Yinglong Yang and Zilong Wang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Teng Zhang

48 papers receiving 4.7k citations

Hit Papers

Metallic Iron–Nickel Sulf... 2014 2026 2018 2022 2015 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Teng Zhang 4.1k 2.5k 2.2k 979 311 50 4.7k
Ludmilla Steier 4.1k 1.0× 4.0k 1.6× 1.6k 0.7× 2.9k 2.9× 242 0.8× 34 6.5k
Rohit Prasanna 4.9k 1.2× 2.7k 1.1× 1.8k 0.8× 798 0.8× 229 0.7× 26 5.3k
Ahmad R. Kirmani 4.2k 1.0× 3.5k 1.4× 1.0k 0.5× 1.6k 1.6× 286 0.9× 65 5.7k
Fabrizio Giordano 6.1k 1.5× 4.8k 1.9× 3.0k 1.4× 2.2k 2.3× 254 0.8× 46 8.0k
Eva M. Barea 4.3k 1.1× 3.5k 1.4× 2.4k 1.1× 1.9k 2.0× 291 0.9× 68 6.2k
Liangbin Xiong 4.9k 1.2× 3.9k 1.5× 2.6k 1.2× 891 0.9× 291 0.9× 69 6.0k
Jixian Xu 6.2k 1.5× 4.7k 1.9× 2.0k 0.9× 1.8k 1.8× 339 1.1× 49 7.6k
Huashang Rao 4.4k 1.1× 4.3k 1.7× 1.3k 0.6× 2.8k 2.9× 352 1.1× 109 6.4k
Fei Ma 4.1k 1.0× 2.2k 0.9× 1.5k 0.7× 379 0.4× 220 0.7× 54 4.4k
Rajiv Ramanujam Prabhakar 2.7k 0.7× 2.5k 1.0× 756 0.3× 1.2k 1.2× 317 1.0× 46 3.7k

Countries citing papers authored by Teng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Teng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Zhang. A scholar is included among the top collaborators of Teng Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teng Zhang. Teng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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