Baoxing Huai

599 total citations
31 papers, 348 citations indexed

About

Baoxing Huai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Baoxing Huai has authored 31 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Baoxing Huai's work include Topic Modeling (20 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (5 papers). Baoxing Huai is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (5 papers). Baoxing Huai collaborates with scholars based in China, Canada and United Kingdom. Baoxing Huai's co-authors include Enhong Chen, Xiaoye Qu, Nicholas Jing Yuan, Tong Xu, Dazhong Shen, Zhi Zheng, Zhou Zhao, Hengshu Zhu, Tengfei Bao and Chao Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Knowledge and Information Systems.

In The Last Decade

Baoxing Huai

28 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoxing Huai China 12 265 85 61 48 30 31 348
Chi Thang Duong Australia 9 173 0.7× 45 0.5× 76 1.2× 34 0.7× 31 1.0× 15 252
Haoruo Peng United States 12 386 1.5× 62 0.7× 49 0.8× 33 0.7× 25 0.8× 21 471
Shichao Pei United States 9 280 1.1× 46 0.5× 86 1.4× 106 2.2× 33 1.1× 24 329
Diane Hu United States 8 164 0.6× 63 0.7× 182 3.0× 57 1.2× 27 0.9× 16 286
Jiaul H. Paik India 10 269 1.0× 58 0.7× 153 2.5× 20 0.4× 35 1.2× 27 346
Feifei Kou China 10 173 0.7× 71 0.8× 76 1.2× 14 0.3× 15 0.5× 31 262
Hajer Baazaoui Zghal Tunisia 9 120 0.5× 63 0.7× 83 1.4× 21 0.4× 33 1.1× 58 235
Mariam Daoud France 9 143 0.5× 78 0.9× 175 2.9× 19 0.4× 47 1.6× 18 275
Zhongfei Mark Zhang United States 7 139 0.5× 80 0.9× 77 1.3× 10 0.2× 24 0.8× 9 229
Paolo Rosso Switzerland 7 182 0.7× 45 0.5× 87 1.4× 28 0.6× 29 1.0× 16 292

Countries citing papers authored by Baoxing Huai

Since Specialization
Citations

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

Fields of papers citing papers by Baoxing Huai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxing Huai

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxing Huai. A scholar is included among the top collaborators of Baoxing Huai 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 Baoxing Huai. Baoxing Huai 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.
Zhou, Shilin, et al.. (2024). CopyNE: Better Contextual ASR by Copying Named Entities. 2675–2686. 3 indexed citations
2.
3.
Qu, Xiaoye, et al.. (2023). Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13501–13509. 11 indexed citations
4.
Wu, Likang, Hongke Zhao, Zhefeng Wang, et al.. (2023). Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. 2618–2628. 3 indexed citations
5.
Qu, Xiaoye, et al.. (2023). A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. IEEE Transactions on Knowledge and Data Engineering. 36(3). 943–959. 20 indexed citations
6.
Zhu, Tong, Guoliang Zhang, Xiaoye Qu, et al.. (2023). Mirror: A Universal Framework for Various Information Extraction Tasks. 8861–8876. 7 indexed citations
7.
Duan, Xinyu, et al.. (2023). AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing. 2883–2894. 6 indexed citations
8.
9.
Ding, Xiao, Zhongyang Li, Li Du, et al.. (2022). ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. 6426–6438.
10.
Rezagholizadeh, Mehdi, et al.. (2022). Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing. 3135–3151. 10 indexed citations
11.
Zheng, Zhi, Chao Wang, Tong Xu, et al.. (2022). Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Transactions on Information Systems. 41(1). 1–32. 38 indexed citations
12.
Liu, Jinglin, Yi Ren, Wencan Huang, et al.. (2022). Parallel and High-Fidelity Text-to-Lip Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1738–1746. 5 indexed citations
13.
Qu, Xiaoye, et al.. (2022). Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. 1863–1873. 29 indexed citations
14.
Liu, Juntao, Xiaoye Qu, Jiaqing Liang, et al.. (2021). HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. 2819–2831. 25 indexed citations
15.
Li, Ying, Meishan Zhang, Zhenghua Li, et al.. (2021). APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing. 2 indexed citations
16.
Lin, Zhijie, et al.. (2021). To Learn Effective Features: Understanding the Task-Specific Adaptation of MAML. 2 indexed citations
17.
Li, Zhi, et al.. (2020). Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements. 2755–2764. 20 indexed citations
18.
Liu, Jinglin, et al.. (2020). FastLR. 4328–4336. 10 indexed citations
19.
Huai, Baoxing, Tengfei Bao, Hengshu Zhu, & Qi Liu. (2014). Topic Modeling Approach to Named Entity Linking. 11 indexed citations
20.
Xu, Tong, Hengshu Zhu, Enhong Chen, et al.. (2013). Learning to annotate via social interaction analytics. Knowledge and Information Systems. 41(2). 251–276. 11 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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