Wanlin Dai

17 total papers · 940 total citations
15 papers, 835 citations indexed

About

Wanlin Dai is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Polymers and Plastics. According to data from OpenAlex, Wanlin Dai has authored 15 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Electrochemistry and 5 papers in Polymers and Plastics. Recurrent topics in Wanlin Dai's work include Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (9 papers) and Conducting polymers and applications (5 papers). Wanlin Dai is often cited by papers focused on Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (9 papers) and Conducting polymers and applications (5 papers). Wanlin Dai collaborates with scholars based in China and Japan. Wanlin Dai's co-authors include Jianshan Ye, Zhiwei Lu, Weihua Cai, Ting Lai, Junjun Zhang, Baichen Liu, Xue-Ni Lin, Jiaping Ye, Guangquan Mo and Wu Lan and has published in prestigious journals such as Journal of Power Sources, Journal of Colloid and Interface Science and Electrochimica Acta.

In The Last Decade

Wanlin Dai

15 papers receiving 816 citations

Author Peers

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

Author						Papers	Cites
Wanlin Dai	582	372	194	186	176	15	835
Junhui Xu	688 1.2×	382 1.0×	205 1.1×	213 1.1×	253 1.4×	28	1.0k
Quanyi Hao	739 1.3×	226 0.6×	171 0.9×	163 0.9×	331 1.9×	13	901
Elumalai Ashok Kumar	562 1.0×	333 0.9×	136 0.7×	106 0.6×	293 1.7×	19	883
Bathinapatla Sravani	649 1.1×	316 0.8×	161 0.8×	175 0.9×	200 1.1×	28	865
Ying Du	590 1.0×	354 1.0×	178 0.9×	186 1.0×	174 1.0×	23	915
Liping Guo	730 1.3×	297 0.8×	99 0.5×	179 1.0×	215 1.2×	18	898
Farnaz Lorestani	626 1.1×	341 0.9×	177 0.9×	313 1.7×	215 1.2×	12	838
Sathishkumar Chinnapaiyan	464 0.8×	253 0.7×	115 0.6×	121 0.7×	238 1.4×	31	755
Ramachandran Rajakumaran	470 0.8×	269 0.7×	162 0.8×	130 0.7×	263 1.5×	32	755
Jean Chrysostome Ndamanisha	722 1.2×	458 1.2×	287 1.5×	232 1.2×	211 1.2×	15	919

Countries citing papers authored by Wanlin Dai

Since Specialization

Citations

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

Fields of papers citing papers by Wanlin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanlin Dai

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