Bosheng Ding

1.0k total citations · 1 hit paper
15 papers, 516 citations indexed

About

Bosheng Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Bosheng Ding has authored 15 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Health Informatics. Recurrent topics in Bosheng Ding's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (2 papers). Bosheng Ding is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Computational and Text Analysis Methods (2 papers). Bosheng Ding collaborates with scholars based in Singapore, Cayman Islands and China. Bosheng Ding's co-authors include Lidong Bing, Shafiq Joty, Linlin Liu, Luo Si, Ding Ding, Chong Guan, Priyanka Gupta, Chunyan Miao, Chengwei Qin and Yew Ken Chia and has published in prestigious journals such as Small, IEEE Access and IEEE Transactions on Multimedia.

In The Last Decade

Bosheng Ding

13 papers receiving 492 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.

Generative AI: A systematic review using topic modelling techniques

2024 72 citations Priyanka Gupta, Bosheng Ding et al. DR-NTU (Nanyang Technological University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bosheng Ding Singapore	11	319	91	54	42	39	15	516
Zefeng Chen China	11	100 0.3×	52 0.6×	80 1.5×	18 0.4×	29 0.7×	23	366
Anthony Levas United States	12	141 0.4×	98 1.1×	40 0.7×	23 0.5×	14 0.4×	19	401
James Wexler United States	7	409 1.3×	211 2.3×	60 1.1×	18 0.4×	18 0.5×	13	641
Swaroop Mishra United States	14	613 1.9×	173 1.9×	94 1.7×	27 0.6×	47 1.2×	29	787
Victor Sanh United States	7	561 1.8×	147 1.6×	76 1.4×	17 0.4×	29 0.7×	9	661
Konrad Wojtasik Poland	3	252 0.8×	30 0.3×	31 0.6×	20 0.5×	48 1.2×	3	442
Ajay Bandi United States	8	130 0.4×	30 0.3×	54 1.0×	11 0.3×	39 1.0×	26	379
Mounia Mikram Morocco	8	215 0.7×	76 0.8×	85 1.6×	32 0.8×	25 0.6×	35	403
Shivaram Kalyanakrishnan India	11	199 0.6×	45 0.5×	23 0.4×	116 2.8×	29 0.7×	25	419
Maryem Rhanoui Morocco	7	226 0.7×	27 0.3×	57 1.1×	40 1.0×	26 0.7×	35	382

Countries citing papers authored by Bosheng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Bosheng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bosheng Ding

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

15 of 15 papers shown

1.

Qin, Chengwei, et al.. (2025). Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?. 23993–24010.

2.

Teng, Zhiyang, et al.. (2024). Exploring Self-supervised Logic-enhanced Training for Large Language Models. 926–941.

3.

Liu, Fang, et al.. (2024). Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach. Figshare. 207–212. 1 indexed citations

4.

Ding, Bosheng, Chengwei Qin, R. P. Zhao, et al.. (2024). Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. 1679–1705. 25 indexed citations

5.

Gupta, Priyanka, Bosheng Ding, Chong Guan, & Ding Ding. (2024). Generative AI: A systematic review using topic modelling techniques. DR-NTU (Nanyang Technological University). 8(2). 100066–100066. 72 indexed citations breakdown →

6.

Ding, Bosheng, Chengwei Qin, Linlin Liu, et al.. (2023). Is GPT-3 a Good Data Annotator?. 11173–11195. 71 indexed citations

7.

Zhao, R. P., Chengwei Qin, Bosheng Ding, et al.. (2023). Retrieving Multimodal Information for Augmented Generation: A Survey. 4736–4756. 30 indexed citations

8.

Ding, Bosheng, Ruiheng Zhang, Lixin Xu, et al.. (2023). U²D²Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement. IEEE Transactions on Multimedia. 26. 202–217. 48 indexed citations

9.

Ding, Ding, et al.. (2023). Unraveling the landscape of large language models: a systematic review and future perspectives. 3(1). 3–19. 18 indexed citations

10.

Xie, Bo, Bosheng Ding, Peng Mao, et al.. (2022). Metal Nanocluster—Metal Organic Framework—Polymer Hybrid Nanomaterials for Improved Hydrogen Detection. Small. 18(23). e2200634–e2200634. 36 indexed citations

11.

Ding, Bosheng, et al.. (2022). Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning. IEEE Access. 10. 90092–90100. 10 indexed citations

12.

Ding, Bosheng, Junjie Hu, Lidong Bing, et al.. (2022). GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1639–1657. 18 indexed citations

13.

He, Ruidan, Linlin Liu, Hai Ye, et al.. (2021). On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. 2208–2222. 73 indexed citations

14.

Liu, Linlin, Bosheng Ding, Lidong Bing, et al.. (2021). MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. 5834–5846. 40 indexed citations

15.

Ding, Bosheng, Linlin Liu, Lidong Bing, et al.. (2020). DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. 6045–6057. 74 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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