Lingfei Mo

1.5k citations
92 papers · 1.1k · h-index 16

Impact in

Papers in

Lingfei Mo

81 papers receiving 1.1k citations

Peers

Lingfei Mo
Comparison fields: 5 of 108
  • Media Technology 325
  • Computer Vision and Pattern Recognition 265
  • Aerospace Engineering 267
  • Electrical and Electronic Engineering 512
  • Ocean Engineering 107
Replace Mohammad Omar Khyam with:
Mohammad Omar Khyam Australia
Carlos Fernández Spain
V. Nagarajan India
R. Curwen United Kingdom
Mario E. Munich United States
Lei Yu China
Alex Teichman United States
Kohtaro Ohba Japan
T. Gandhi United States
Mohamed El‐Sharkawy United States
Lingfei Mo relative to Mohammad Omar Khyam Australia Mohammad Omar Khyam's profile →
Citations per field
00.5×10×15×18.5×
Mohammad Omar Khyam · 1×
Citations per year

Countries citing papers authored by Lingfei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Lingfei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingfei 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 Lingfei Mo Line = papers co-authored together Lingfei Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 201592
3 202188
4 201184
5 201067
6 200860
7 201657
8 201944
9 202036
10 200736
11 201229
12 201927
13 202423
14 202220
15 201517
16 202316
17 199515
18 202015
19 201214
20 201213

About Lingfei Mo

Lingfei Mo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Aerospace Engineering, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), RFID technology advancements (16 papers), Indoor and Outdoor Localization Technologies (15 papers), Electromagnetic Scattering and Analysis (10 papers), Energy Harvesting in Wireless Networks (10 papers), Electromagnetic Simulation and Numerical Methods (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Machine Fault Diagnosis Techniques (8 papers). The work is most often cited by research in Media Technology (325 citations), Computer Vision and Pattern Recognition (265 citations), Aerospace Engineering (267 citations), Electrical and Electronic Engineering (512 citations) and Ocean Engineering (107 citations). Lingfei Mo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenyang Li, Ruqiang Yan, Hongjian Zhang, Hongliang Zhou, Hongjian Zhang, Robert X. Gao, Fan Li, Patty S. Freedson, Shaopeng Liu and Yang Qin. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Wireless Communications Letters, Neurocomputing, Physical review. B. and IEEE Journal of Radio Frequency Identification.

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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