Gene Eu Jan

101 total papers · 824 total citations
72 papers, 545 citations indexed

About

Gene Eu Jan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Gene Eu Jan has authored 72 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Networks and Communications and 19 papers in Aerospace Engineering. Recurrent topics in Gene Eu Jan's work include Robotic Path Planning Algorithms (29 papers), Robotics and Sensor-Based Localization (17 papers) and Computational Geometry and Mesh Generation (12 papers). Gene Eu Jan is often cited by papers focused on Robotic Path Planning Algorithms (29 papers), Robotics and Sensor-Based Localization (17 papers) and Computational Geometry and Mesh Generation (12 papers). Gene Eu Jan collaborates with scholars based in Taiwan, United States and China. Gene Eu Jan's co-authors include Chaomin Luo, Xiang Cao, Ki-Yin Chang, Ian Parberry, Daqi Zhu, Zhenzhong Chu, Chi‐Chia Sun, Tingjun Lei, Simon X. Yang and Zhuming Bi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Gene Eu Jan

62 papers receiving 525 citations

Author Peers

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

Author						Papers	Cites
Gene Eu Jan	255	166	157	144	121	72	545
Beom-Hee Lee	250 1.0×	108 0.7×	285 1.8×	61 0.4×	70 0.6×	48	487
Ali Mohades	288 1.1×	42 0.3×	92 0.6×	69 0.5×	78 0.6×	59	531
Young‐Ho Choi	297 1.2×	87 0.5×	239 1.5×	50 0.3×	95 0.8×	75	596
Wenjie Lu	183 0.7×	61 0.4×	117 0.7×	51 0.4×	206 1.7×	91	611
Sina Sharif Mansouri	307 1.2×	46 0.3×	310 2.0×	108 0.8×	147 1.2×	52	607
Loukas Petrou	252 1.0×	50 0.3×	222 1.4×	59 0.4×	89 0.7×	38	515
Usman Malik	286 1.1×	39 0.2×	184 1.2×	39 0.3×	131 1.1×	60	486
Douglas W. Gage	254 1.0×	31 0.2×	138 0.9×	162 1.1×	186 1.5×	34	593
Laura Ferranti	211 0.8×	45 0.3×	67 0.4×	81 0.6×	268 2.2×	34	528
Raghvendra V. Cowlagi	273 1.1×	27 0.2×	118 0.8×	52 0.4×	161 1.3×	54	549

Countries citing papers authored by Gene Eu Jan

Since Specialization

Citations

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

Fields of papers citing papers by Gene Eu Jan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene Eu Jan. 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 Gene Eu Jan. The network helps show where Gene Eu Jan may publish in the future.

Co-authorship network of co-authors of Gene Eu Jan

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Eu Jan. A scholar is included among the top collaborators of Gene Eu Jan 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 Gene Eu Jan. Gene Eu Jan 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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