Shinya Wada

75 total papers · 493 total citations
38 papers, 294 citations indexed

About

Shinya Wada is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shinya Wada has authored 38 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Shinya Wada's work include Ocular Surface and Contact Lens (6 papers), Veterinary Equine Medical Research (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Shinya Wada is often cited by papers focused on Ocular Surface and Contact Lens (6 papers), Veterinary Equine Medical Research (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Shinya Wada collaborates with scholars based in Japan, United States and Switzerland. Shinya Wada's co-authors include Seiji HOBO, Hidekazu Niwa, Atsushi Hiraga, Satoshi Kurihara, Yanan Wang, Atsutoshi Kuwano, Jure Leskovec, Michihiro Yasunaga, Yoshinori Kasashima and Hongyu Ren and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and American Journal of Veterinary Research.

In The Last Decade

Shinya Wada

38 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
Shinya Wada	70	56	53	50	47	38	294
Yang Jing	68 1.0×	17 0.3×	37 0.7×		16 0.3×	28	307
Arathi Arakala	33 0.5×	111 2.0×	25 0.5×		62 1.3×	23	291
Daniel Ostler	7 0.1×	36 0.6×	32 0.6×	2 0.0×	25 0.5×	48	273
Rishi Kumar Singh	18 0.3×	15 0.3×	124 2.3×		21 0.4×	40	337
Amit Raj	87 1.2×	132 2.4×	54 1.0×		61 1.3×	49	345
Stephen Dubin	3 0.0×	150 2.7×	8 0.2×	7 0.1×	13 0.3×	33	317
Chuhan Wang	25 0.4×	21 0.4×	38 0.7×		36 0.8×	28	246
Julio César Mello-Román	40 0.6×	168 3.0×	28 0.5×		76 1.6×	37	344
Haoran Wu	35 0.5×	67 1.2×	26 0.5×		33 0.7×	29	269
Veronika Kurilová	40 0.6×	42 0.8×	40 0.8×		93 2.0×	18	232

Countries citing papers authored by Shinya Wada

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Wada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Wada. A scholar is included among the top collaborators of Shinya Wada 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 Shinya Wada. Shinya Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact