Jian Jin

84 total papers · 4.2k total citations
51 papers, 3.8k citations indexed

About

Jian Jin is a scholar working on Biomedical Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jian Jin has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 20 papers in Materials Chemistry and 12 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jian Jin's work include Radioactive element chemistry and processing (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Advanced Photocatalysis Techniques (6 papers). Jian Jin is often cited by papers focused on Radioactive element chemistry and processing (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Advanced Photocatalysis Techniques (6 papers). Jian Jin collaborates with scholars based in China, Japan and United States. Jian Jin's co-authors include Jiaguo Yu, Kazuhito Hashimoto, Shin‐ichi Ohkoshi, Daipeng Guo, Can Cui, Wingkei Ho, Mietek Jaroniec, Bei Cheng, Jiye Zhang and Jun Zhang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Journal of Applied Physics.

In The Last Decade

Jian Jin

48 papers receiving 3.7k citations

Hit Papers

Efficient Visible-Light P... 2013 2026 2017 2021 2013 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jian Jin 2.7k 2.7k 1.1k 460 375 51 3.8k
Haibo Li 1.9k 0.7× 2.1k 0.8× 1.6k 1.3× 434 0.9× 378 1.0× 97 3.7k
Xiaofeng Qiu 2.0k 0.7× 3.1k 1.2× 1.8k 1.6× 531 1.2× 484 1.3× 79 4.6k
Fernando Fresno 3.3k 1.2× 2.9k 1.1× 1.1k 1.0× 304 0.7× 392 1.0× 83 4.4k
Teresa Valdés-Solı́s 1.4k 0.5× 2.7k 1.0× 1.1k 1.0× 628 1.4× 495 1.3× 56 4.1k
Ki‐jeong Kong 2.1k 0.8× 2.4k 0.9× 1.5k 1.3× 339 0.7× 421 1.1× 81 3.7k
Lianbin Xu 2.3k 0.8× 1.3k 0.5× 1.8k 1.5× 517 1.1× 493 1.3× 66 3.7k
Xiaoli Zheng 1.8k 0.7× 1.7k 0.6× 1.3k 1.2× 526 1.1× 366 1.0× 91 3.4k
Yuying Gao 3.3k 1.2× 3.0k 1.1× 1.5k 1.3× 614 1.3× 276 0.7× 83 4.4k
Peng Zhang 3.2k 1.2× 3.5k 1.3× 1.4k 1.3× 479 1.0× 395 1.1× 86 4.6k
Yang Liu 2.4k 0.9× 2.2k 0.8× 1.4k 1.2× 475 1.0× 474 1.3× 75 3.8k

Countries citing papers authored by Jian Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jian Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Jin

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