Yandan Tan

9 total papers · 406 total citations
7 papers, 318 citations indexed

About

Yandan Tan is a scholar working on Artificial Intelligence, Accounting and Neurology. According to data from OpenAlex, Yandan Tan has authored 7 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Accounting and 2 papers in Neurology. Recurrent topics in Yandan Tan's work include Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Yandan Tan is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Yandan Tan collaborates with scholars based in China. Yandan Tan's co-authors include Guangcai Zhao, Guoen Cai, Houde Dai, Tim C. Lueth, Hongbin Zhu, Jie Wu, Sen Liu, Jie Wu, Hongbin Zhu and Jiale Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yandan Tan

6 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Yandan Tan	239	213	80	65	35	7	318
Weicong Hong	162 0.7×	119 0.6×	81 1.0×	74 1.1×	13 0.4×	7	294
Md. Robiul Islam	170 0.7×	151 0.7×	86 1.1×	43 0.7×	38 1.1×	6	343
Erik Steinmetz	117 0.5×	144 0.7×	109 1.4×	37 0.6×	32 0.9×	11	299
Thamo Sutharssan	127 0.5×	217 1.0×	115 1.4×	46 0.7×	14 0.4×	8	348
Rucong Lai	293 1.2×	262 1.2×	105 1.3×	21 0.3×	8 0.2×	8	332
John Harding	119 0.5×	177 0.8×	66 0.8×	38 0.6×	33 0.9×	5	283
Lyu Li	240 1.0×	206 1.0×	100 1.3×	81 1.2×	28 0.8×	14	332
Joshue Pérez	191 0.8×	59 0.3×	91 1.1×	41 0.6×	38 1.1×	9	272
Liu Datong	230 1.0×	180 0.8×	144 1.8×	145 2.2×	37 1.1×	13	353
Yuwei Nie	308 1.3×	250 1.2×	112 1.4×	42 0.6×	11 0.3×	11	362

Countries citing papers authored by Yandan Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yandan Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yandan Tan

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