Yun Tang

19 total papers · 949 total citations
13 papers, 830 citations indexed

About

Yun Tang is a scholar working on Biomedical Engineering, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, Yun Tang has authored 13 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Polymers and Plastics. Recurrent topics in Yun Tang's work include Advanced Sensor and Energy Harvesting Materials (6 papers), Conducting polymers and applications (4 papers) and Supercapacitor Materials and Fabrication (3 papers). Yun Tang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (6 papers), Conducting polymers and applications (4 papers) and Supercapacitor Materials and Fabrication (3 papers). Yun Tang collaborates with scholars based in China, United States and Hong Kong. Yun Tang's co-authors include Dianping Tang, Shuzhen Lv, Kangyao Zhang, Zhenzhong Yu, Rongrong Ren, Guoneng Cai, Bingang Xu, Di Tan, Dianping Tang and Lijia Zhang and has published in prestigious journals such as Analytical Chemistry, Nano Energy and Advanced Science.

In The Last Decade

Yun Tang

13 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
Yun Tang	473	441	280	179	124	13	830
Tanyu Wang	438 0.9×	473 1.1×	244 0.9×	230 1.3×	79 0.6×	30	916
Liyun Guan	667 1.4×	502 1.1×	183 0.7×	135 0.8×	54 0.4×	21	877
Rafael Del Caño	420 0.9×	249 0.6×	120 0.4×	296 1.7×	105 0.8×	19	749
Bicheng Zhu	398 0.8×	426 1.0×	146 0.5×	277 1.5×	194 1.6×	30	799
Fangmeng Liu	344 0.7×	280 0.6×	328 1.2×	347 1.9×	50 0.4×	22	773
Darwin Yang	453 1.0×	346 0.8×	345 1.2×	125 0.7×	36 0.3×	13	839
Shipra Solanki	337 0.7×	349 0.8×	284 1.0×	281 1.6×	122 1.0×	13	832
Hua Yu	181 0.4×	206 0.5×	265 0.9×	172 1.0×	69 0.6×	24	745
Menglin Song	456 1.0×	281 0.6×	480 1.7×	384 2.1×	79 0.6×	30	1.0k
Natalia C. Tansil	352 0.7×	294 0.7×	170 0.6×	188 1.1×	219 1.8×	13	900

Countries citing papers authored by Yun Tang

Since Specialization

Citations

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

Fields of papers citing papers by Yun Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tang

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