Wenbiao Ding

440 total citations
12 papers, 139 citations indexed

About

Wenbiao Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Wenbiao Ding has authored 12 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Wenbiao Ding's work include Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Wenbiao Ding is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Wenbiao Ding collaborates with scholars based in China, United States and United Kingdom. Wenbiao Ding's co-authors include Zitao Liu, Jian Guan, Minlie Huang, Hang Li, Changjie Fan, Xiaoxi Mao, Zhenyu Huang, Hua Wu, Guocheng Niu and Xinyan Xiao and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Neural Information Processing Systems and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Wenbiao Ding

11 papers receiving 128 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenbiao Ding China	6	104	67	17	14	7	12	139
Filip Jurčíček United Kingdom	11	391 3.8×	51 0.8×	13 0.8×	9 0.6×	13 1.9×	24	404
Johnny Tian-Zheng Wei United States	7	249 2.4×	49 0.7×	15 0.9×	4 0.3×	26 3.7×	11	267
Vikas Bhardwaj United States	8	177 1.7×	46 0.7×	12 0.7×	4 0.3×	7 1.0×	10	190
Xiaoxi Mao China	9	199 1.9×	55 0.8×	2 0.1×	13 0.9×	13 1.9×	14	213
Donghyun Kwak South Korea	7	103 1.0×	69 1.0×	4 0.2×	6 0.4×	8 1.1×	10	140
Gustavo Aguilar United States	4	190 1.8×	50 0.7×	3 0.2×	8 0.6×	12 1.7×	9	218
B. Thomson United Kingdom	12	323 3.1×	27 0.4×	10 0.6×	19 1.4×	8 1.1×	18	332
Minheng Ni China	7	230 2.2×	94 1.4×	3 0.2×	4 0.3×	11 1.6×	10	275
Saeed Mahloujifar United States	7	124 1.2×	26 0.4×	5 0.3×	23 1.6×	5 0.7×	14	139

Countries citing papers authored by Wenbiao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Wenbiao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbiao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbiao Ding. A scholar is included among the top collaborators of Wenbiao 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 Wenbiao Ding. Wenbiao Ding 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:

12 of 12 papers shown

Kang, Yu, Tianqiao Liu, Hang Li, Yang Hao, & Wenbiao Ding. (2022). Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 10875–10883. 3 indexed citations

Guan, Jian, Zhexin Zhang, Zitao Liu, et al.. (2021). OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. 6394–6407. 14 indexed citations

Guan, Jian, Xiaoxi Mao, Changjie Fan, et al.. (2021). Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. 6379–6393. 30 indexed citations

Huang, Zhenyu, Guocheng Niu, Xiao Liu, et al.. (2021). Learning with Noisy Correspondence for Cross-modal Matching. Neural Information Processing Systems. 34. 44 indexed citations

Yang, Hao, et al.. (2021). Temporal-aware Language Representation Learning From Crowdsourced Labels. 47–56.

Li, Hang, Wenbiao Ding, Yu Kang, et al.. (2021). CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5 indexed citations

Liu, Tianqiao, Qiang Fang, Wenbiao Ding, et al.. (2021). Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4225–4240. 13 indexed citations

Li, Hang, Wenbiao Ding, Songfan Yang, & Zitao Liu. (2020). Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.. Educational Data Mining. 1 indexed citations

Li, Hang, Yu Kang, Wenbiao Ding, et al.. (2020). Multimodal Learning for Classroom Activity Detection. 9234–9238. 21 indexed citations

10.

Wang, Wentao, Guowei Xu, Wenbiao Ding, et al.. (2020). Representation Learning from Limited Educational Data with Crowdsourced Labels. IEEE Transactions on Knowledge and Data Engineering. 1–1. 5 indexed citations

11.

Xiao, Ming, Jiakun Li, Song Hong, et al.. (2018). K-mer Counting: memory-efficient strategy, parallel computing and field of application for Bioinformatics. 2561–2567. 2 indexed citations

12.

Ding, Wenbiao, et al.. (2014). Automatic construction of printable return-oriented programming payload. 7. 18–25. 1 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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