Mo Dai

459 total citations
20 papers, 287 citations indexed

About

Mo Dai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mo Dai has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Mo Dai's work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Mo Dai is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Mo Dai collaborates with scholars based in France and China. Mo Dai's co-authors include Bo Yang, Lin Wang, Pierre Baylou, Mohamed Najim, Lin Wang, Lin Wang, Mingquan Zhou, Gang Zhou, Chunmei Zhang and Jing Bai and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Signal Processing.

In The Last Decade

Mo Dai

15 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Dai France 8 250 46 33 19 16 20 287
Ashok Rao India 9 175 0.7× 152 3.3× 47 1.4× 15 0.8× 17 1.1× 17 259
Abdul Rehman Pakistan 8 89 0.4× 21 0.5× 28 0.8× 14 0.7× 15 0.9× 20 160
Apoorv Vyas Switzerland 4 87 0.3× 35 0.8× 13 0.4× 15 0.8× 82 5.1× 7 182
Jeongin Seo South Korea 7 251 1.0× 75 1.6× 32 1.0× 6 0.3× 31 1.9× 15 294
Xiwu Shang China 11 282 1.1× 101 2.2× 73 2.2× 7 0.4× 22 1.4× 30 305
Yan Ke China 10 287 1.1× 20 0.4× 29 0.9× 7 0.4× 61 3.8× 34 370
Mauricio Villegas Spain 12 318 1.3× 48 1.0× 67 2.0× 4 0.2× 108 6.8× 25 349
Tim Dockhorn Germany 2 200 0.8× 28 0.6× 12 0.4× 3 0.2× 43 2.7× 2 262

Countries citing papers authored by Mo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Mo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Dai. A scholar is included among the top collaborators of Mo 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 Mo Dai. Mo Dai 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.
2.
Dai, Mo, et al.. (2013). Gaussian-Geometric Moments and its Application in Feature Matching. Advanced materials research. 718-720. 2113–2119.
3.
Yang, Bo, et al.. (2011). Rotation and translation invariants of Gaussian–Hermite moments. Pattern Recognition Letters. 32(9). 1283–1298. 41 indexed citations
4.
Yang, Bo & Mo Dai. (2011). Image reconstruction from continuous Gaussian–Hermite moments implemented by discrete algorithm. Pattern Recognition. 45(4). 1602–1616. 21 indexed citations
5.
Yang, Bo & Mo Dai. (2011). Image analysis by Gaussian–Hermite moments. Signal Processing. 91(10). 2290–2303. 76 indexed citations
6.
7.
Dai, Mo, et al.. (2008). Gauss-hermite moments application in medical image segmentation. 1–5. 2 indexed citations
8.
Dai, Mo, et al.. (2008). Discrete Gaussian-Hermite Moments and its Applications. 1–4. 2 indexed citations
9.
Wang, Lin, et al.. (2007). Some Aspects of Gaussian-Hermite Moments in Image Analysis. 450–454. 10 indexed citations
10.
Wang, Lin & Mo Dai. (2007). Application of a new type of singular points in fingerprint classification. Pattern Recognition Letters. 28(13). 1640–1650. 46 indexed citations
11.
Dai, Mo. (2006). An Improved Method for Tangent Estimation of Digital Curves. Journal of Engineering Graphics. 2 indexed citations
12.
Wang, Lin & Mo Dai. (2006). An effective method for extracting singular points in fingerprint images. AEU - International Journal of Electronics and Communications. 60(9). 671–676. 3 indexed citations
13.
Dai, Mo, et al.. (2006). SELF-CALIBRATION: NEW METHOD AND COMPARISONS. International Journal of Humanoid Robotics. 3(2). 177–203.
14.
Dai, Mo, et al.. (2006). Matching feature points and discarding false matching pairs. 458–463. 2 indexed citations
15.
16.
Dai, Mo, et al.. (2005). DETECTION AND ANALYSIS OF MOVING OBJECTS FOR VIDEO SURVEILLANCE. 2(3). 227–239. 5 indexed citations
17.
Dai, Mo, et al.. (2005). Traffic object detections and its action analysis. Pattern Recognition Letters. 26(13). 1963–1984. 25 indexed citations
18.
Dai, Mo, et al.. (2004). Auto-calibration: new method and comparisons. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5606. 179–179.
19.
Dai, Mo, et al.. (1996). Image segmentation by a dynamic thresholding using edge detection based on cascaded uniform filters. Signal Processing. 52(1). 49–63. 15 indexed citations
20.
Dai, Mo, Pierre Baylou, & Mohamed Najim. (1992). An efficient algorithm for computation of shape moments from run-length codes or chain codes. Pattern Recognition. 25(10). 1119–1128. 34 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ashok Rao Breakdown of academic impact, for papers by Abdul Rehman Breakdown of academic impact, for papers by Apoorv Vyas Breakdown of academic impact, for papers by Jeongin Seo Breakdown of academic impact, for papers by Xiwu Shang Breakdown of academic impact, for papers by Yan Ke Breakdown of academic impact, for papers by Mauricio Villegas Breakdown of academic impact, for papers by Tim Dockhorn
Rankless by CCL
2026