Ling Lo

532 total citations
14 papers, 334 citations indexed

About

Ling Lo is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Urban Studies. According to data from OpenAlex, Ling Lo has authored 14 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Experimental and Cognitive Psychology and 3 papers in Urban Studies. Recurrent topics in Ling Lo's work include Emotion and Mood Recognition (5 papers), Face and Expression Recognition (5 papers) and Face recognition and analysis (4 papers). Ling Lo is often cited by papers focused on Emotion and Mood Recognition (5 papers), Face and Expression Recognition (5 papers) and Face recognition and analysis (4 papers). Ling Lo collaborates with scholars based in Taiwan, Hong Kong and Canada. Ling Lo's co-authors include Hong-Han Shuai, Hongxia Xie, Hao‐Wen Cheng, Wen-Huang Cheng, Wen-Huang Cheng, David Vai Kiong Chao, Bo Wu, Chia‐Lin Liu, Gordon C. Andrews and Carissa Wong and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Affective Computing and Journal of Clinical Hypertension.

In The Last Decade

Ling Lo

13 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Lo Taiwan	10	221	168	79	38	37	14	334
Jingwei Yan China	8	331 1.5×	330 2.0×	78 1.0×	35 0.9×	70 1.9×	12	455
Keyu Yan China	4	253 1.1×	204 1.2×	61 0.8×	19 0.5×	36 1.0×	4	309
Jinhyeok Jang South Korea	6	186 0.8×	156 0.9×	57 0.7×	28 0.7×	25 0.7×	14	273
Sajid Ali Khan Pakistan	10	268 1.2×	94 0.6×	66 0.8×	12 0.3×	59 1.6×	21	354
Dian Li China	6	440 2.0×	241 1.4×	161 2.0×	34 0.9×	81 2.2×	14	599
Yuanliu Liu China	6	285 1.3×	243 1.4×	74 0.9×	28 0.7×	75 2.0×	10	425
Shuhang Wu China	4	190 0.9×	168 1.0×	63 0.8×	36 0.9×	42 1.1×	12	293
Jinhee Chun Japan	6	157 0.7×	97 0.6×	48 0.6×	29 0.8×	34 0.9×	19	235
Senya Polikovsky Japan	5	251 1.1×	193 1.1×	56 0.7×	81 2.1×	39 1.1×	9	352

Countries citing papers authored by Ling Lo

Since Specialization

Citations

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

Fields of papers citing papers by Ling Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Lo

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Huang, Yu‐Hsuan, et al.. (2025). Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11826–11834. 1 indexed citations

Lo, Ling, et al.. (2024). Refining Valence-Arousal Estimation with Dual-Stream Label Density Smoothing. 1–4.

Lo, Ling, et al.. (2024). Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing. 24462–24471. 1 indexed citations

Lo, Ling, et al.. (2023). Modeling Uncertainty for Low-Resolution Facial Expression Recognition. IEEE Transactions on Affective Computing. 15(1). 198–209. 15 indexed citations

Xie, Hongxia, Ling Lo, Hong-Han Shuai, & Hao‐Wen Cheng. (2022). An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge. IEEE Transactions on Affective Computing. 14(3). 1857–1875. 27 indexed citations

Lo, Ling, Hongxia Xie, Hong-Han Shuai, & Wen-Huang Cheng. (2022). Facial Chirality: From Visual Self-Reflection to Robust Facial Feature Learning. IEEE Transactions on Multimedia. 24. 4275–4284. 10 indexed citations

Lo, Ling, et al.. (2022). Mimicking the Annotation Process for Recognizing the Micro Expressions. Proceedings of the 30th ACM International Conference on Multimedia. 228–236. 10 indexed citations

Lo, Ling, et al.. (2021). FashionMirror: Co-attention Feature-remapping Virtual Try-on with Sequential Template Poses. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13789–13798. 23 indexed citations

Lo, Ling, et al.. (2021). Prognostic value of nocturnal blood pressure dipping on cardiovascular outcomes in Chinese patients with hypertension in primary care. Journal of Clinical Hypertension. 23(7). 1291–1299. 22 indexed citations

10.

Lo, Ling, et al.. (2021). Facial Chirality: Using Self-Face Reflection to Learn Discriminative Features for Facial Expression Recognition. 1–6. 18 indexed citations

11.

Lo, Ling, Hongxia Xie, Hong-Han Shuai, & Wen-Huang Cheng. (2020). MER-GCN: Micro-Expression Recognition Based on Relation Modeling with Graph Convolutional Networks. 79–84. 61 indexed citations

12.

Xie, Hongxia, Ling Lo, Hong-Han Shuai, & Hao‐Wen Cheng. (2020). AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition. 2871–2880. 131 indexed citations

13.

Lo, Ling, et al.. (2019). Dressing for Attention: Outfit Based Fashion Popularity Prediction. 3222–3226. 13 indexed citations

14.

Andrews, Gordon C., Ling Lo, & Carissa Wong. (2002). Graph theory-the key to AI applications in dynamics. 3. 2939–2944. 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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