Mengxi Dai

409 total citations
10 papers, 306 citations indexed

About

Mengxi Dai is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mengxi Dai has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Human-Computer Interaction and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mengxi Dai's work include EEG and Brain-Computer Interfaces (5 papers), Gaze Tracking and Assistive Technology (4 papers) and Neuroscience and Neural Engineering (3 papers). Mengxi Dai is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Gaze Tracking and Assistive Technology (4 papers) and Neuroscience and Neural Engineering (3 papers). Mengxi Dai collaborates with scholars based in China, Japan and Canada. Mengxi Dai's co-authors include Dezhi Zheng, Shuai Wang, Rui Na, Shuailei Zhang, Shucong Liu, Kai Zhu, Pengchao Chen, Kai Zhu, Tianhao Wang and Fei Dong and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition Letters.

In The Last Decade

Mengxi Dai

10 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengxi Dai China	7	260	133	100	75	57	10	306
Ali Al-Saegh Iraq	5	336 1.3×	131 1.0×	117 1.2×	69 0.9×	86 1.5×	13	377
Xuelin Ma China	10	340 1.3×	123 0.9×	96 1.0×	57 0.8×	79 1.4×	13	371
Sylvain Chevallier France	11	362 1.4×	139 1.0×	90 0.9×	85 1.1×	71 1.2×	44	428
Fatemeh Fahimi Singapore	5	344 1.3×	92 0.7×	93 0.9×	96 1.3×	62 1.1×	11	420
Phairot Autthasan Thailand	6	313 1.2×	83 0.6×	75 0.8×	73 1.0×	65 1.1×	13	381
Jassim M. Abdul-Jabbar Iraq	6	329 1.3×	129 1.0×	125 1.3×	92 1.2×	83 1.5×	36	407
Shefa A. Dawwd Iraq	7	330 1.3×	128 1.0×	129 1.3×	65 0.9×	105 1.8×	25	426
Yong Jiao China	9	297 1.1×	142 1.1×	102 1.0×	114 1.5×	72 1.3×	18	389
Rattanaphon Chaisaen Thailand	5	272 1.0×	68 0.5×	67 0.7×	65 0.9×	64 1.1×	8	367
Wonjun Ko South Korea	9	293 1.1×	60 0.5×	76 0.8×	39 0.5×	41 0.7×	19	343

Countries citing papers authored by Mengxi Dai

Since Specialization

Citations

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

Fields of papers citing papers by Mengxi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxi Dai

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

All Works

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10 of 10 papers shown

Ding, Zhiyong, et al.. (2025). Construction and applications of exosome-microneedle integrated systems. International Journal of Pharmaceutics X. 10. 100360–100360. 1 indexed citations

Dai, Mengxi, Shuai Wang, Dezhi Zheng, Rui Na, & Shuailei Zhang. (2019). Domain Transfer Multiple Kernel Boosting for Classification of EEG Motor Imagery Signals. IEEE Access. 7. 49951–49960. 26 indexed citations

Dai, Mengxi, Dezhi Zheng, Rui Na, Shuai Wang, & Shuailei Zhang. (2019). EEG Classification of Motor Imagery Using a Novel Deep Learning Framework. Sensors. 19(3). 551–551. 171 indexed citations

Wang, Shuai, et al.. (2019). A novel pattern with high-level commands for encoding motor imagery-based brain computer interface. Pattern Recognition Letters. 125. 28–34. 10 indexed citations

Zhu, Kai, Shuai Wang, Dezhi Zheng, & Mengxi Dai. (2019). Study on the effect of different electrode channel combinations of motor imagery EEG signals on classification accuracy. The Journal of Engineering. 2019(23). 8641–8645. 9 indexed citations

Dai, Mengxi, et al.. (2018). Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification. Computational and Mathematical Methods in Medicine. 2018. 1–9. 64 indexed citations

Ding, Zhu, et al.. (2018). Properties of phosphate cement mortar as an anchorage adhesive. JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING. 35(2). 132–132. 1 indexed citations

Liu, Shucong, Dezhi Zheng, Mengxi Dai, & Pengchao Chen. (2018). A Compensation Method for Spiral Error of Pipeline Bending Strain In-Line Inspection. Journal of Testing and Evaluation. 47(5). 3372–3386. 8 indexed citations

Liu, Shucong, Dezhi Zheng, Tianhao Wang, et al.. (2018). A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology. Advances in Mechanical Engineering. 10(12). 5 indexed citations

10.

Yamazaki, Yoichi, Hai Vu, Chastine Fatichah, et al.. (2010). Gesture recognition using combination of acceleration sensor and images for casual communication between robots and humans. 1–7. 11 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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