Jiakun Bai

38 total papers · 443 total citations
34 papers, 362 citations indexed

About

Jiakun Bai is a scholar working on Materials Chemistry, Spectroscopy and Molecular Biology. According to data from OpenAlex, Jiakun Bai has authored 34 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 10 papers in Spectroscopy and 9 papers in Molecular Biology. Recurrent topics in Jiakun Bai's work include Luminescence and Fluorescent Materials (17 papers), Molecular Sensors and Ion Detection (9 papers) and Nanoplatforms for cancer theranostics (4 papers). Jiakun Bai is often cited by papers focused on Luminescence and Fluorescent Materials (17 papers), Molecular Sensors and Ion Detection (9 papers) and Nanoplatforms for cancer theranostics (4 papers). Jiakun Bai collaborates with scholars based in China, Rwanda and Japan. Jiakun Bai's co-authors include Junhui Jia, Jiang Peng, Chao Li, Huijuan Zhang, Renzhong Qiao, Jing Zhang, Hongwei Qiao, Tao Wang, Ting Xu and Sichun Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Organic Chemistry and Chemistry - A European Journal.

In The Last Decade

Jiakun Bai

32 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Jiakun Bai	221	94	86	82	50	34	362
Ryoko M. Uda	217 1.0×	38 0.4×	81 0.9×	83 1.0×	51 1.0×	32	347
Saugata Sahu	229 1.0×	77 0.8×	82 1.0×	116 1.4×	36 0.7×	30	385
Falguni Chandra	190 0.9×	121 1.3×	79 0.9×	126 1.5×	40 0.8×	24	352
S. Wysocki	135 0.6×	78 0.8×	107 1.2×	60 0.7×	66 1.3×	48	402
Ryuma Sato	199 0.9×	49 0.5×	39 0.5×	105 1.3×	64 1.3×	30	320
Yingjie Zhao	180 0.8×	111 1.2×	53 0.6×	99 1.2×	121 2.4×	22	340
Sepideh Ketabi	177 0.8×	36 0.4×	55 0.6×	113 1.4×	50 1.0×	39	389
Mireille Vonlanthen	264 1.2×	126 1.3×	56 0.7×	108 1.3×	58 1.2×	35	399
Rafael Arcos‐Ramos	147 0.7×	57 0.6×	84 1.0×	136 1.7×	37 0.7×	32	347
Marcello La Rosa	202 0.9×	77 0.8×	50 0.6×	171 2.1×	93 1.9×	16	330

Countries citing papers authored by Jiakun Bai

Since Specialization

Citations

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

Fields of papers citing papers by Jiakun Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiakun Bai

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