Yueming Ding

626 total citations · 1 hit paper
6 papers, 277 citations indexed

About

Yueming Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yueming Ding has authored 6 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Yueming Ding's work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Face recognition and analysis (2 papers). Yueming Ding is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Face recognition and analysis (2 papers). Yueming Ding collaborates with scholars based in China, Hong Kong and United States. Yueming Ding's co-authors include Lirong Yin, Wenfeng Zheng, Siyu Lu, Zhengtong Yin, Mingzhe Liu, Shan Liu, Jiawei Tian, Tian Xia, Bo Yang and P.Y. Mok and has published in prestigious journals such as Applied Energy, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Yueming Ding

5 papers receiving 268 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiscale Feature Extraction and Fusion of Image and Text in VQA

2023 166 citations Siyu Lu, Yueming Ding et al. International Journal of Computational Intelligence Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yueming Ding China	5	111	71	40	33	29	6	277
Hamzah Ali Alkhazaleh United Arab Emirates	12	72 0.6×	45 0.6×	35 0.9×	32 1.0×	25 0.9×	28	271
Xiao-Zhi Gao Finland	9	107 1.0×	57 0.8×	46 1.1×	16 0.5×	20 0.7×	29	285
Ruifeng Xu China	10	204 1.8×	49 0.7×	43 1.1×	38 1.2×	25 0.9×	55	446
Ireneusz Czarnowski Poland	11	233 2.1×	46 0.6×	25 0.6×	58 1.8×	45 1.6×	53	379
Nataliia Lotoshynska Ukraine	10	87 0.8×	56 0.8×	19 0.5×	61 1.8×	19 0.7×	25	282
Sashank Sridhar India	10	94 0.8×	32 0.5×	38 0.9×	80 2.4×	33 1.1×	54	280
Stamatios-Aggelos N. Alexandropoulos Greece	4	192 1.7×	27 0.4×	66 1.6×	32 1.0×	25 0.9×	5	396
Christos Karras Greece	10	126 1.1×	40 0.6×	72 1.8×	45 1.4×	78 2.7×	29	373
Aristeidis Karras Greece	10	128 1.2×	40 0.6×	72 1.8×	49 1.5×	80 2.8×	32	387

Countries citing papers authored by Yueming Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yueming Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueming Ding

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

All Works

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6 of 6 papers shown

1.

Chu, Yinghao, et al.. (2024). Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed photovoltaic systems. Applied Energy. 374. 124007–124007. 9 indexed citations

2.

Ding, Yueming, et al.. (2024). Personalizing human avatars based on realistic 3D facial reconstruction. Multimedia Tools and Applications. 83(39). 86593–86620. 4 indexed citations

3.

Ding, Yueming & P.Y. Mok. (2024). Improved 3D human face reconstruction from 2D images using blended hard edges. Neural Computing and Applications. 36(24). 14967–14987. 1 indexed citations

4.

Lu, Siyu, Yueming Ding, Zhengtong Yin, et al.. (2023). Improved Blending Attention Mechanism in Visual Question Answering. Computer Systems Science and Engineering. 47(1). 1149–1161. 5 indexed citations

5.

Lu, Siyu, Yueming Ding, Mingzhe Liu, et al.. (2023). Multiscale Feature Extraction and Fusion of Image and Text in VQA. International Journal of Computational Intelligence Systems. 16(1). 166 indexed citations breakdown →

6.

Zheng, Wenfeng, Tian Xia, Bo Yang, et al.. (2022). A Few Shot Classification Methods Based on Multiscale Relational Networks. Applied Sciences. 12(8). 4059–4059. 92 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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