Lingfei Mo

1.4k total citations
88 papers, 1.1k citations indexed

About

Lingfei Mo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Lingfei Mo has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 24 papers in Computer Vision and Pattern Recognition and 17 papers in Media Technology. Recurrent topics in Lingfei Mo's work include Context-Aware Activity Recognition Systems (16 papers), RFID technology advancements (16 papers) and Indoor and Outdoor Localization Technologies (15 papers). Lingfei Mo is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), RFID technology advancements (16 papers) and Indoor and Outdoor Localization Technologies (15 papers). Lingfei Mo collaborates with scholars based in China, United States and Hong Kong. Lingfei Mo's co-authors include Chenyang Li, Ruqiang Yan, Hongjian Zhang, Hongliang Zhou, Hongjian Zhang, Robert X. Gao, Fan Li, Shaopeng Liu, Patty S. Freedson and Yang Qin and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Lingfei Mo

80 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingfei Mo China 15 494 317 261 244 152 88 1.1k
David Mascareñas United States 22 401 0.8× 96 0.3× 101 0.4× 512 2.1× 58 0.4× 75 1.7k
Mohammad Omar Khyam Australia 18 599 1.2× 49 0.2× 183 0.7× 234 1.0× 125 0.8× 44 1.2k
Kuo Su Taiwan 15 378 0.8× 39 0.1× 129 0.5× 190 0.8× 177 1.2× 43 970
Emidio DiGiampaolo Italy 15 701 1.4× 397 1.3× 355 1.4× 64 0.3× 35 0.2× 67 947
Wendy Flores‐Fuentes Mexico 16 262 0.5× 59 0.2× 127 0.5× 304 1.2× 62 0.4× 102 873
V. Nagarajan India 18 494 1.0× 55 0.2× 285 1.1× 142 0.6× 119 0.8× 178 1.2k
J.C. García Spain 19 575 1.2× 58 0.2× 310 1.2× 444 1.8× 85 0.6× 97 1.5k
Antonio Giannitrapani Italy 21 636 1.3× 50 0.2× 538 2.1× 304 1.2× 163 1.1× 86 1.6k
Annalisa Liccardo Italy 19 464 0.9× 158 0.5× 57 0.2× 66 0.3× 49 0.3× 110 893
Gian Luca Mariottini United States 17 147 0.3× 81 0.3× 566 2.2× 689 2.8× 99 0.7× 38 1.2k

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-authorship network of co-authors of Lingfei Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Lingfei Mo. A scholar is included among the top collaborators of Lingfei Mo 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 Lingfei Mo. Lingfei Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Chenyang, et al.. (2025). WCNN-KAN: A Novel Interpretable Multiscale Attention Feature Fusion Network for Rotating Machinery Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
3.
Mo, Lingfei, Roderich Moessner, & Hongzheng Zhao. (2025). Complex and tunable heating in conformal field theories with structured drives via classical ergodicity breaking. Physical review. B.. 112(18).
4.
Liu, Xinjun, Lingfei Mo, & Meng‐Ting Tang. (2025). TinySpiking: a lightweight and efficient python framework for unsupervised learning spiking neural networks. Engineering Research Express. 7(1). 15217–15217. 1 indexed citations
5.
Mo, Lingfei, et al.. (2024). Unsupervised spiking neural network based on liquid state machine and self-organizing map. Neurocomputing. 620. 129120–129120. 2 indexed citations
6.
Li, Chenyang, Lingfei Mo, Chee Keong Kwoh, et al.. (2024). Noise-robust multi-view graph neural network for fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. 224. 112025–112025. 19 indexed citations
7.
Mo, Lingfei, et al.. (2024). Self-Attention-Assisted TinyML With Effective Representation for UWB NLOS Identification. IEEE Internet of Things Journal. 11(15). 25471–25480. 6 indexed citations
8.
Mo, Lingfei, et al.. (2024). WCNN-KAN: A Novel Feature Enhancement Framework for Rotating Machinery Fault Diagnosis. 1–6. 2 indexed citations
9.
Mo, Lingfei, et al.. (2024). A Lightweight UWB NLOS Detection Algorithm Using Referenced CIR Similarity Metrics. IEEE Wireless Communications Letters. 13(10). 2797–2801. 1 indexed citations
10.
Chen, Tiansheng & Lingfei Mo. (2023). Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition. Neural Processing Letters. 55(8). 11109–11130. 14 indexed citations
11.
Mo, Lingfei, et al.. (2022). ALSA: Associative Learning Based Supervised Learning Algorithm for SNN. Frontiers in Neuroscience. 16. 838832–838832. 1 indexed citations
12.
Mo, Lingfei, et al.. (2022). EvtSNN: Event-driven SNN simulator optimized by population and pre-filtering. Frontiers in Neuroscience. 16. 944262–944262. 7 indexed citations
13.
Mo, Lingfei, et al.. (2020). Clustering Ensemble Model Based on Self-Organizing Map Network. Computational Intelligence and Neuroscience. 2020. 1–11. 6 indexed citations
14.
Mo, Lingfei, et al.. (2019). Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor. Mathematical Biosciences & Engineering. 16(6). 6242–6256. 11 indexed citations
15.
16.
Mo, Lingfei, et al.. (2017). Online Human Daily Activity Recognition with Rechargeable Wearable Sensors. Sensors and Materials. 1353–1353. 4 indexed citations
17.
Mo, Lingfei, et al.. (2013). Energy-efficient and data synchronized body sensor network for physical activity measurement. 1120–1124. 7 indexed citations
18.
Mo, Lingfei, Shaopeng Liu, Robert X. Gao, & Patty S. Freedson. (2012). Multi-Sensor Ensemble Classifier for Activity Recognition. Journal of Software Engineering and Applications. 5(12). 113–116. 12 indexed citations
19.
Mo, Lingfei, et al.. (2011). A single port dipole for UHF RFID tag antennas with eliminated read-orientation sensitivity. 998–1001. 1 indexed citations
20.
Johnston, K.W., Roberta L. Bondar, Flo Stein, et al.. (1990). Development of methods to analyse transcranial Doppler ultrasound signals recorded in microgravity. Medical & Biological Engineering & Computing. 28(4). 306–311. 2 indexed citations

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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