Sheng‐Di Bai

100 total papers · 516 total citations
37 papers, 440 citations indexed

About

Sheng‐Di Bai is a scholar working on Organic Chemistry, Inorganic Chemistry and Oncology. According to data from OpenAlex, Sheng‐Di Bai has authored 37 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Organic Chemistry, 19 papers in Inorganic Chemistry and 7 papers in Oncology. Recurrent topics in Sheng‐Di Bai's work include Organometallic Complex Synthesis and Catalysis (22 papers), Coordination Chemistry and Organometallics (13 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (10 papers). Sheng‐Di Bai is often cited by papers focused on Organometallic Complex Synthesis and Catalysis (22 papers), Coordination Chemistry and Organometallics (13 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (10 papers). Sheng‐Di Bai collaborates with scholars based in China, Hong Kong and Malaysia. Sheng‐Di Bai's co-authors include Dian‐Sheng Liu, Jianping Guo, Xuehong Wei, Shifang Yuan, Hongbo Tong, Jianping Guo, Zhongyuan Zhou, Meisu Zhou, Wen‐Hua Sun and Jianbin Chao and has published in prestigious journals such as Angewandte Chemie International Edition, RSC Advances and Dalton Transactions.

In The Last Decade

Sheng‐Di Bai

35 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Sheng‐Di Bai	379	196	96	49	46	37	440
Martí Gimferrer	302 0.8×	212 1.1×	60 0.6×	25 0.5×	103 2.2×	28	480
Fábio G. Delolo	290 0.8×	133 0.7×	122 1.3×	65 1.3×	67 1.5×	30	405
Lajos Bencze	315 0.8×	137 0.7×	67 0.7×	34 0.7×	43 0.9×	28	376
K.B. Starowieyski	366 1.0×	261 1.3×	44 0.5×	24 0.5×	54 1.2×	42	492
Silvia Bordoni	367 1.0×	179 0.9×	58 0.6×	62 1.3×	51 1.1×	37	449
John E. Hallgren	338 0.9×	226 1.2×	126 1.3×	48 1.0×	58 1.3×	19	442
Michael Svoboda	415 1.1×	148 0.8×	103 1.1×	55 1.1×	44 1.0×	21	469
R. Anulewicz-Ostrowska	292 0.8×	165 0.8×	32 0.3×	75 1.5×	101 2.2×	38	436
Mohammad Hayatifar	229 0.6×	163 0.8×	71 0.7×	39 0.8×	118 2.6×	34	367
Srinivas Anga	382 1.0×	204 1.0×	59 0.6×	38 0.8×	61 1.3×	33	433

Countries citing papers authored by Sheng‐Di Bai

Since Specialization

Citations

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

Fields of papers citing papers by Sheng‐Di Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Di Bai

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