Daichi Wada

64 total papers · 583 total citations
33 papers, 430 citations indexed

About

Daichi Wada is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Daichi Wada has authored 33 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 8 papers in Aerospace Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Daichi Wada's work include Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (17 papers) and Aerospace and Aviation Technology (7 papers). Daichi Wada is often cited by papers focused on Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (17 papers) and Aerospace and Aviation Technology (7 papers). Daichi Wada collaborates with scholars based in Japan, United States and United Kingdom. Daichi Wada's co-authors include Hideaki Murayama, Hirotaka Igawa, Tokio Kasai, Kazuro Kageyama, Shane P. Windsor, Kiyoshi Uzawa, Isamu Ohsawa, Toshiya Nakamura, Junichi Sugiyama and Magnus Burman and has published in prestigious journals such as Optics Express, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Daichi Wada

33 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Daichi Wada	289	128	78	61	58	33	430
Minfu Liang	243 0.8×	78 0.6×	52 0.7×	53 0.9×	88 1.5×	31	405
Hyun-Kyu Kang	259 0.9×	85 0.7×	42 0.5×	52 0.9×	101 1.7×	28	426
Yuan Li-bo	309 1.1×	131 1.0×	43 0.6×	54 0.9×	34 0.6×	28	382
Iker García	221 0.8×	177 1.4×	29 0.4×	76 1.2×	57 1.0×	19	368
Cunzheng Fan	322 1.1×	64 0.5×	58 0.7×	83 1.4×	49 0.8×	40	441
Filippo Bastianini	293 1.0×	261 2.0×	44 0.6×	40 0.7×	55 0.9×	36	482
K. Kesavan	160 0.6×	180 1.4×	19 0.2×	35 0.6×	46 0.8×	41	380
Chuan Li	282 1.0×	95 0.7×	22 0.3×	40 0.7×	50 0.9×	57	412
Kunpeng Feng	306 1.1×	45 0.4×	113 1.4×	62 1.0×	75 1.3×	52	491
Bonyong Koo	144 0.5×	114 0.9×	26 0.3×	58 1.0×	139 2.4×	45	476

Countries citing papers authored by Daichi Wada

Since Specialization

Citations

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

Fields of papers citing papers by Daichi Wada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Wada

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