Junkai Shao

26 total papers · 676 total citations
23 papers, 526 citations indexed

About

Junkai Shao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Junkai Shao has authored 23 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 20 papers in Biomedical Engineering and 19 papers in Bioengineering. Recurrent topics in Junkai Shao's work include Gas Sensing Nanomaterials and Sensors (20 papers), Analytical Chemistry and Sensors (19 papers) and Advanced Chemical Sensor Technologies (19 papers). Junkai Shao is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (20 papers), Analytical Chemistry and Sensors (19 papers) and Advanced Chemical Sensor Technologies (19 papers). Junkai Shao collaborates with scholars based in China, United States and Romania. Junkai Shao's co-authors include Guofeng Pan, Xueli Yang, Caixuan Sun, Hongyan Liu, Yuhang Qi, Mengjie Wang, Hongyan Liu, Hao Zhang, Lanlan Guo and Ziyan Wang and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Sensors and Actuators B Chemical.

In The Last Decade

Junkai Shao

21 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Junkai Shao	491	345	298	157	75	23	526
Caixuan Sun	420 0.9×	297 0.9×	258 0.9×	147 0.9×	63 0.8×	21	464
Phan Hong Phuoc	487 1.0×	296 0.9×	245 0.8×	190 1.2×	89 1.2×	18	516
Chun-Han Wu	381 0.8×	230 0.7×	222 0.7×	168 1.1×	80 1.1×	18	486
Talgar Shaymurat	338 0.7×	222 0.6×	173 0.6×	221 1.4×	92 1.2×	21	511
Shiv Dutta Lawaniya	436 0.9×	304 0.9×	238 0.8×	142 0.9×	121 1.6×	20	520
Onur Alev	426 0.9×	245 0.7×	194 0.7×	207 1.3×	71 0.9×	29	508
Rui Gao	473 1.0×	287 0.8×	246 0.8×	200 1.3×	92 1.2×	34	568
Jicu Hu	480 1.0×	273 0.8×	268 0.9×	185 1.2×	71 0.9×	16	552
Beixi An	441 0.9×	313 0.9×	292 1.0×	154 1.0×	70 0.9×	21	499
Qawareer Fatima	474 1.0×	257 0.7×	255 0.9×	208 1.3×	92 1.2×	18	576

Countries citing papers authored by Junkai Shao

Since Specialization

Citations

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

Fields of papers citing papers by Junkai Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkai Shao

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