Meijia Chang

58 total papers · 1.9k total citations
46 papers, 1.6k citations indexed

About

Meijia Chang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Meijia Chang has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 17 papers in Polymers and Plastics and 11 papers in Molecular Biology. Recurrent topics in Meijia Chang's work include Conducting polymers and applications (17 papers), Organic Electronics and Photovoltaics (16 papers) and Perovskite Materials and Applications (9 papers). Meijia Chang is often cited by papers focused on Conducting polymers and applications (17 papers), Organic Electronics and Photovoltaics (16 papers) and Perovskite Materials and Applications (9 papers). Meijia Chang collaborates with scholars based in China, United States and France. Meijia Chang's co-authors include Yongsheng Chen, Xiangjian Wan, Chenxi Li, Huanran Feng, Bin Kan, Lingxian Meng, Yamin Zhang, Yuan‐Qiu‐Qiang Yi, Yanna Sun and Jianhui Hou and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Meijia Chang

43 papers receiving 1.6k citations

Hit Papers

Flexible organic photovol... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Meijia Chang 1.1k 805 317 247 216 46 1.6k
Xuyi Luo 1.1k 1.0× 807 1.0× 292 0.9× 178 0.7× 417 1.9× 35 1.8k
Jianping Meng 591 0.5× 339 0.4× 733 2.3× 253 1.0× 442 2.0× 53 1.7k
Kyohei Nakano 1.2k 1.1× 818 1.0× 98 0.3× 89 0.4× 388 1.8× 63 1.5k
Ailian Wang 1.1k 1.0× 293 0.4× 194 0.6× 68 0.3× 274 1.3× 69 1.7k
Xiaoxia Feng 727 0.7× 413 0.5× 157 0.5× 83 0.3× 621 2.9× 58 1.3k
Shijie Zhen 942 0.9× 1.0k 1.3× 646 2.0× 200 0.8× 751 3.5× 66 2.0k
Chunyan Deng 710 0.6× 405 0.5× 171 0.5× 45 0.2× 330 1.5× 64 1.3k
Xinrong Lin 1.0k 0.9× 202 0.3× 130 0.4× 404 1.6× 310 1.4× 72 1.9k
Weijun Niu 467 0.4× 464 0.6× 387 1.2× 286 1.2× 409 1.9× 35 1.6k
Fan Liu 592 0.5× 319 0.4× 353 1.1× 148 0.6× 679 3.1× 63 1.4k

Countries citing papers authored by Meijia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Meijia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijia Chang

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