Peiqing Cong

24 total papers · 442 total citations
20 papers, 370 citations indexed

About

Peiqing Cong is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Organic Chemistry. According to data from OpenAlex, Peiqing Cong has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 18 papers in Polymers and Plastics and 2 papers in Organic Chemistry. Recurrent topics in Peiqing Cong's work include Organic Electronics and Photovoltaics (20 papers), Conducting polymers and applications (18 papers) and Perovskite Materials and Applications (10 papers). Peiqing Cong is often cited by papers focused on Organic Electronics and Photovoltaics (20 papers), Conducting polymers and applications (18 papers) and Perovskite Materials and Applications (10 papers). Peiqing Cong collaborates with scholars based in China. Peiqing Cong's co-authors include Erjun Zhou, Ailing Tang, Lie Chen, Yanfang Geng, Baoquan Zhang, Jing Yang, Zongtao Wang, Chao Meng, Jianfeng Li and Xiaochen Wang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Peiqing Cong

18 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Peiqing Cong 347 300 31 26 21 20 370
Hyeongjin Hwang 328 0.9× 277 0.9× 56 1.8× 19 0.7× 17 0.8× 14 367
Tomohiro Fukuhara 414 1.2× 367 1.2× 38 1.2× 28 1.1× 26 1.2× 10 444
Caroline Grand 378 1.1× 338 1.1× 78 2.5× 38 1.5× 33 1.6× 11 438
Kedar Deshmukh 322 0.9× 265 0.9× 52 1.7× 30 1.2× 11 0.5× 13 377
Bin Chang 363 1.0× 288 1.0× 44 1.4× 17 0.7× 20 1.0× 19 381
A. Henckens 305 0.9× 237 0.8× 64 2.1× 61 2.3× 20 1.0× 15 361
Xiaojun Li 405 1.2× 309 1.0× 57 1.8× 18 0.7× 21 1.0× 12 438
Nakul Jain 389 1.1× 244 0.8× 107 3.5× 19 0.7× 35 1.7× 19 407
Shiao‐Wen Hwang 379 1.1× 232 0.8× 100 3.2× 18 0.7× 11 0.5× 19 419
Ruizhi Lv 379 1.1× 342 1.1× 29 0.9× 27 1.0× 22 1.0× 20 418

Countries citing papers authored by Peiqing Cong

Since Specialization
Citations

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

Fields of papers citing papers by Peiqing Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiqing Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Peiqing Cong. A scholar is included among the top collaborators of Peiqing Cong 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 Peiqing Cong. Peiqing Cong 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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