Bing Yin

1.1k total citations · 1 hit paper
36 papers, 528 citations indexed

About

Bing Yin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bing Yin has authored 36 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bing Yin's work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers). Bing Yin is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers). Bing Yin collaborates with scholars based in United States, China and Hong Kong. Bing Yin's co-authors include Haoming Jiang, Jingfeng Yang, Shaochen Zhong, Hongye Jin, Qizhang Feng, Xiaotian Han, Ruixiang Tang, Xia Hu, Danqing Zhang and Tianyu Cao and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and npj Digital Medicine.

In The Last Decade

Bing Yin

31 papers receiving 501 citations

Hit Papers

Harnessing the Power of LLMs in Practice: A Survey on Cha... 2024 2026 2025 2024 50 100 150 200
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.

  1. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
    2024 237 citations Jingfeng Yang, Hongye Jin et al. ACM Transactions on Knowledge Discovery from Data profile →

Peers

Bing Yin
Damai Dai China
Swaroop Mishra United States
Saïd Ouatik El Alaoui Morocco
Jianhui Ma China
Dongsheng Luo United States
Weihua Peng China
Florian Tramèr United States
Stefano Silvestri Italy
Yun-Cheng Wang United States
Damai Dai China
Bing Yin
Citations per year, relative to Bing Yin Bing Yin (= 1×) peers Damai Dai

Countries citing papers authored by Bing Yin

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Yin

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

All Works

20 of 20 papers shown
1.
Liu, Fenglin, Li Zheng, Qingyu Yin, et al.. (2025). A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digital Medicine. 8(1). 86–86. 5 indexed citations
2.
3.
4.
Pang, S. W., et al.. (2024). Diff-TST: Diffusion model for one-shot text-image style transfer. Expert Systems with Applications. 263. 125747–125747. 2 indexed citations
5.
Liu, Xin, et al.. (2024). COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 148–160. 6 indexed citations
6.
Yang, Jingfeng, Hongye Jin, Ruixiang Tang, et al.. (2024). Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Transactions on Knowledge Discovery from Data. 18(6). 1–32. 237 indexed citations breakdown →
7.
Wang, Weiqi, Xin Liu, Zhizhong Li, et al.. (2024). MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7800–7815.
8.
Lu, Yue, et al.. (2024). Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5885–5893. 5 indexed citations
9.
Tan, Zhaoxuan, et al.. (2024). Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. 6476–6491. 4 indexed citations
10.
Chen, Xinyuan, et al.. (2023). Weakly supervised scene text generation for low-resource languages. Expert Systems with Applications. 237. 121622–121622. 4 indexed citations
11.
Zhang, Chao, et al.. (2023). Implicit Query Parsing at Amazon Product Search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3380–3384. 3 indexed citations
12.
Dai, Enyan, Limeng Cui, Zhengyang Wang, et al.. (2023). A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368–379. 5 indexed citations
13.
Yang, Jingfeng, et al.. (2023). Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. 2621–2632. 6 indexed citations
14.
Wang, Zhengyang, Qingyu Yin, Danqing Zhang, et al.. (2023). Exploiting Intent Evolution in E-commercial Query Recommendation. 5162–5173. 2 indexed citations
15.
Li, Shiyang, Yifan Gao, Haoming Jiang, et al.. (2023). Graph Reasoning for Question Answering with Triplet Retrieval. 3366–3375. 14 indexed citations
16.
Yin, Bing, et al.. (2023). Dynamic facial expression recognition with pseudo‐label guided multi‐modal pre‐training. IET Computer Vision. 18(1). 33–45. 1 indexed citations
17.
Jin, Wei, Xianfeng Tang, Haoming Jiang, et al.. (2022). Condensing Graphs via One-Step Gradient Matching. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 720–730. 42 indexed citations
18.
Li, Zheng, Danqing Zhang, Tianyu Cao, et al.. (2021). MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3183–3196. 4 indexed citations
19.
Lu, Hanqing, et al.. (2021). QUEEN: Neural query rewriting in e-commerce. 4 indexed citations
20.
Yin, Bing. (2008). Image fusion based on rule of local energy using WBCT. Jisuanji yingyong yanjiu.

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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