Yuhan Shi

83 total papers · 1.2k total citations
56 papers, 853 citations indexed

About

Yuhan Shi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Yuhan Shi has authored 56 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 15 papers in Materials Chemistry and 13 papers in Artificial Intelligence. Recurrent topics in Yuhan Shi's work include Advanced Memory and Neural Computing (14 papers), Advanced Nanomaterials in Catalysis (11 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Yuhan Shi is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Advanced Nanomaterials in Catalysis (11 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Yuhan Shi collaborates with scholars based in China, United States and South Korea. Yuhan Shi's co-authors include Duygu Kuzum, Sangheon Oh, Xin Liu, Xiaohui Li, Caleb Chen Cao, Wei Bai, Iván K. Schuller, Cong Wang, Shenjia Zhang and Han Gao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Yuhan Shi

48 papers receiving 835 citations

Author Peers

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

Author						Papers	Cites
Yuhan Shi	498	219	201	152	117	56	853
Zhen Yang	585 1.2×	349 1.6×	139 0.7×	162 1.1×	130 1.1×	54	940
Yuanyuan He	646 1.3×	273 1.2×	304 1.5×	86 0.6×	100 0.9×	44	1.0k
Zelin Cao	539 1.1×	72 0.3×	264 1.3×	110 0.7×	79 0.7×	55	769
Andreas Wild	862 1.7×	244 1.1×	133 0.7×	63 0.4×	218 1.9×	30	1.0k
Spyros Stathopoulos	841 1.7×	78 0.4×	386 1.9×	106 0.7×	124 1.1×	59	923
Sanggyun Kim	294 0.6×	65 0.3×	122 0.6×	205 1.3×	250 2.1×	39	865
Sity Lam	800 1.6×	167 0.8×	214 1.1×	131 0.9×	68 0.6×	21	891
Zhengwu Liu	823 1.7×	333 1.5×	278 1.4×	84 0.6×	242 2.1×	40	1.1k
Tae-Yoon Kim	560 1.1×	106 0.5×	136 0.7×	170 1.1×	41 0.4×	70	809
Zhaoqing Wang	393 0.8×	216 1.0×	156 0.8×	169 1.1×	45 0.4×	31	929

Countries citing papers authored by Yuhan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yuhan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhan Shi

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