Wissam J. Baddar

678 total citations
14 papers, 450 citations indexed

About

Wissam J. Baddar is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Wissam J. Baddar has authored 14 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Wissam J. Baddar's work include Emotion and Mood Recognition (8 papers), Face and Expression Recognition (5 papers) and Face recognition and analysis (5 papers). Wissam J. Baddar is often cited by papers focused on Emotion and Mood Recognition (8 papers), Face and Expression Recognition (5 papers) and Face recognition and analysis (5 papers). Wissam J. Baddar collaborates with scholars based in South Korea and Canada. Wissam J. Baddar's co-authors include Yong Man Ro, Dae Hoe Kim, Jinhyeok Jang, Seung Ho Lee, Hak Gu Kim, Sangmin Lee and Seong Tae Kim and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Affective Computing and arXiv (Cornell University).

In The Last Decade

Wissam J. Baddar

13 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wissam J. Baddar South Korea 6 329 314 99 69 58 14 450
Yee-Hui Oh Malaysia 7 239 0.7× 235 0.7× 86 0.9× 79 1.1× 45 0.8× 8 350
Senya Polikovsky Japan 5 251 0.8× 193 0.6× 81 0.8× 56 0.8× 39 0.7× 9 352
Cliff Lansley United Kingdom 4 351 1.1× 354 1.1× 95 1.0× 106 1.5× 69 1.2× 6 522
Huai-Qian Khor Malaysia 6 254 0.8× 282 0.9× 79 0.8× 107 1.6× 43 0.7× 7 401
Jingting Li China 12 302 0.9× 212 0.7× 43 0.4× 132 1.9× 41 0.7× 35 455
Siyue Xie China 6 395 1.2× 343 1.1× 38 0.4× 64 0.9× 49 0.8× 10 474
Zengqun Zhao China 5 372 1.1× 347 1.1× 49 0.5× 54 0.8× 28 0.5× 6 477
Madhumita A. Takalkar Australia 5 181 0.6× 203 0.6× 53 0.5× 72 1.0× 43 0.7× 5 295
Sihaeng Lee South Korea 6 568 1.7× 448 1.4× 62 0.6× 56 0.8× 57 1.0× 8 656
Marc Oliu Simón Spain 3 299 0.9× 270 0.9× 36 0.4× 45 0.7× 64 1.1× 3 426

Countries citing papers authored by Wissam J. Baddar

Since Specialization
Citations

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

Fields of papers citing papers by Wissam J. Baddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wissam J. Baddar. 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 Wissam J. Baddar. The network helps show where Wissam J. Baddar may publish in the future.

Co-authorship network of co-authors of Wissam J. Baddar

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

All Works

14 of 14 papers shown
1.
Baddar, Wissam J., Sangmin Lee, & Yong Man Ro. (2019). On-the-Fly Facial Expression Prediction Using LSTM Encoded Appearance-Suppressed Dynamics. IEEE Transactions on Affective Computing. 13(1). 159–174. 13 indexed citations
2.
Baddar, Wissam J. & Yong Man Ro. (2019). Encoding features robust to unseen modes of variation with attentive long short-term memory. Pattern Recognition. 100. 107159–107159. 2 indexed citations
3.
Baddar, Wissam J. & Yong Man Ro. (2018). Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 5 indexed citations
4.
5.
Baddar, Wissam J. & Yong Man Ro. (2017). Learning Spatio-temporal Features with Partial Expression Sequences for on-the-Fly Prediction. arXiv (Cornell University). 6666–6673. 1 indexed citations
6.
Kim, Dae Hoe, Wissam J. Baddar, Jinhyeok Jang, & Yong Man Ro. (2017). Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. IEEE Transactions on Affective Computing. 10(2). 223–236. 178 indexed citations
7.
Baddar, Wissam J., et al.. (2016). A deep facial landmarks detection with facial contour and facial components constraint. 3209–3213. 9 indexed citations
8.
Kim, Dae Hoe, Wissam J. Baddar, & Yong Man Ro. (2016). Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. 382–386. 141 indexed citations
9.
Baddar, Wissam J. & Yong Man Ro. (2016). Bilateral hemiface feature representation learning for pose robust facial expression recognition. 1–4. 2 indexed citations
10.
Lee, Seung Ho, Wissam J. Baddar, & Yong Man Ro. (2016). Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos. Pattern Recognition. 54. 52–67. 45 indexed citations
11.
12.
Kim, Dae Hoe, Seong Tae Kim, Wissam J. Baddar, & Yong Man Ro. (2015). Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. 4521–4524. 2 indexed citations
13.
Baddar, Wissam J., et al.. (2015). Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 941421–941421. 1 indexed citations
14.
Baddar, Wissam J., Dae Hoe Kim, & Yong Man Ro. (2014). Breast tissue removal for enhancing microcalcification cluster detection in mammograms. 363–366.

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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