Haijuan Ju

40 total papers · 806 total citations
35 papers, 658 citations indexed

About

Haijuan Ju is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haijuan Ju has authored 35 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 14 papers in Atomic and Molecular Physics, and Optics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haijuan Ju's work include Photonic and Optical Devices (12 papers), Advanced Fiber Optic Sensors (11 papers) and Image Enhancement Techniques (7 papers). Haijuan Ju is often cited by papers focused on Photonic and Optical Devices (12 papers), Advanced Fiber Optic Sensors (11 papers) and Image Enhancement Techniques (7 papers). Haijuan Ju collaborates with scholars based in China and United States. Haijuan Ju's co-authors include Jian Liang, Liyong Ren, Wenfei Zhang, Enshi Qu, Zhaoxin Wu, Kaili Ren, Xu‐Dong Kong, Liming Yang, Yiping Xu and Zhuoyue Li and has published in prestigious journals such as Optics Letters, Optics Express and Sensors.

In The Last Decade

Haijuan Ju

33 papers receiving 613 citations

Author Peers

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

Author Last Decade Papers Cites
Haijuan Ju 303 229 192 189 136 35 658
Seung‐Hwan Baek 219 0.7× 64 0.3× 149 0.8× 211 1.1× 101 0.7× 44 565
Nahum Gat 109 0.4× 125 0.5× 171 0.9× 241 1.3× 152 1.1× 36 721
Hongzhi Jiang 522 1.7× 85 0.4× 199 1.0× 94 0.5× 59 0.4× 56 723
Jean‐Baptiste Thomas 261 0.9× 64 0.3× 217 1.1× 123 0.7× 206 1.5× 55 567
Chen Ji 66 0.2× 108 0.5× 102 0.5× 204 1.1× 189 1.4× 30 785
Yongying Yang 503 1.7× 184 0.8× 96 0.5× 145 0.8× 157 1.2× 81 781
Daniel S. Jeon 425 1.4× 65 0.3× 293 1.5× 295 1.6× 81 0.6× 21 769
Jeppe Revall Frisvad 252 0.8× 35 0.2× 74 0.4× 140 0.7× 80 0.6× 81 727
Enshi Qu 305 1.0× 141 0.6× 216 1.1× 227 1.2× 86 0.6× 32 565
Daodang Wang 481 1.6× 127 0.6× 259 1.3× 193 1.0× 223 1.6× 52 765

Countries citing papers authored by Haijuan Ju

Since Specialization
Citations

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

Fields of papers citing papers by Haijuan Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijuan Ju

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