Juan Mo

560 citations
29 papers · 411 · h-index 7

Impact in

Papers in

Juan Mo

27 papers receiving 391 citations

Peers

Juan Mo
Comparison fields: 5 of 63
  • Ophthalmology 156
  • Radiology, Nuclear Medicine and Imaging 276
  • Computer Vision and Pattern Recognition 199
  • Health Information Management 25
  • Neurology 30
Replace Shiqi Huang with:
Shiqi Huang China
Judith Mengelkamp Germany
Doaa Youssef Egypt
Nahed H. Solouma Egypt
Jiajia Lei China
Haroon Ahmed Khan Pakistan
Keren Xie China
Hyungyu Lee South Korea
Juan Mo relative to Shiqi Huang China Shiqi Huang's profile →
Citations per field
00.5×9.8×
Shiqi Huang · 1×
Citations per year

Countries citing papers authored by Juan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Juan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Juan Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Juan Mo Line = papers co-authored together Juan Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017141
2 201896
3 201864
4 202336
5 202024
6 20228
7 20226
8
Analysis on Application of Energy-Saving Conductors in Transmission Lines
20124
9 20203
10 20133
11 20183
12 20182
13 20202
14 20212
15 20192
16 20212
17 20231
18
Study on degradation of humic acids by UV/O3/H2O2 process.
20151
19 20201
20 20211

About Juan Mo

Juan Mo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Speech and Hearing, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 411 indexed citations. Recurring topics across this work include Noise Effects and Management (6 papers), Power Transformer Diagnostics and Insulation (4 papers), High voltage insulation and dielectric phenomena (4 papers), Acoustic Wave Phenomena Research (4 papers), Vibration and Dynamic Analysis (4 papers), High-Voltage Power Transmission Systems (3 papers), Digital Imaging for Blood Diseases (3 papers) and Thermal Analysis in Power Transmission (3 papers). The work is most often cited by research in Ophthalmology (156 citations), Radiology, Nuclear Medicine and Imaging (276 citations), Computer Vision and Pattern Recognition (199 citations), Health Information Management (25 citations) and Neurology (30 citations). Juan Mo has collaborated with scholars based in China. Frequent co-authors include Lei Zhang, Yangqin Feng, Lei Zhang, Lei Zhang, Haiying Huang, Kui Xiao, Yan Wang, Zhen Yang, Chaofang Dong and Zhenggang Fang. Their work appears in journals such as Applied Sciences, Neurocomputing, International Journal of Computer Assisted Radiology and Surgery, Power System Technology and Corrosion Science.

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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