Baolin Peng

4.3k total citations
51 papers, 1.2k citations indexed

About

Baolin Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Baolin Peng has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Baolin Peng's work include Topic Modeling (36 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (18 papers). Baolin Peng is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (18 papers). Baolin Peng collaborates with scholars based in United States, China and United Kingdom. Baolin Peng's co-authors include Jianfeng Gao, Kam‐Fai Wong, Kaisheng Yao, Geoffrey Zweig, Dong Yu, Yangyang Shi, Chunyuan Li, Jinchao Li, Yu Zhang and Xiujun Li and has published in prestigious journals such as Bioinformatics, Construction and Building Materials and International Journal of Biological Macromolecules.

In The Last Decade

Baolin Peng

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baolin Peng United States 17 1.0k 172 113 44 33 51 1.2k
Tsung-Hsien Wen United Kingdom 15 1.3k 1.3× 253 1.5× 102 0.9× 13 0.3× 23 0.7× 29 1.4k
Nikola Mrkšić United Kingdom 14 1.3k 1.3× 237 1.4× 90 0.8× 18 0.4× 15 0.5× 17 1.4k
Pei-Hao Su United Kingdom 15 1.4k 1.3× 249 1.4× 95 0.8× 12 0.3× 27 0.8× 27 1.5k
Junhui Li China 16 642 0.6× 180 1.0× 51 0.5× 38 0.9× 20 0.6× 70 750
Kashif Javed Pakistan 13 436 0.4× 211 1.2× 178 1.6× 37 0.8× 12 0.4× 39 638
Mohamed El Bachir Menaï Saudi Arabia 16 610 0.6× 51 0.3× 149 1.3× 18 0.4× 24 0.7× 50 812
David Vandyke United Kingdom 13 1.2k 1.2× 240 1.4× 81 0.7× 13 0.3× 15 0.5× 19 1.3k
Laurent Charlin Canada 9 775 0.8× 231 1.3× 63 0.6× 14 0.3× 19 0.6× 14 901
Shafaatunnur Hasan Malaysia 12 428 0.4× 100 0.6× 93 0.8× 15 0.3× 46 1.4× 38 659

Countries citing papers authored by Baolin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Baolin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Baolin Peng. A scholar is included among the top collaborators of Baolin Peng 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 Baolin Peng. Baolin Peng 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.
Pan, Chonggen, et al.. (2024). Electromigration effect of nano-Fe3O4 in concrete under chloride erosion environment. Construction and Building Materials. 438. 137164–137164.
2.
Li, Zekun, Baolin Peng, Pengcheng He, & Xifeng Yan. (2024). Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. 557–568. 6 indexed citations
3.
Peng, Baolin, Jingyan Zhou, Lifeng Jin, et al.. (2024). Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. 1946–1965. 4 indexed citations
4.
Peng, Baolin, et al.. (2024). Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. 163–181. 11 indexed citations
5.
Galley, Michel, Baolin Peng, Weixin Cai, et al.. (2023). Interactive Text Generation. 4450–4468. 1 indexed citations
6.
Zhu, Qi, Hsien-chin Lin, Baolin Peng, et al.. (2023). ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. 106–123. 9 indexed citations
7.
He, Pengcheng, Baolin Peng, Song Wang, et al.. (2023). Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. 5095–5112. 19 indexed citations
8.
Zhang, Xiaoying, Baolin Peng, Jianfeng Gao, & Helen Meng. (2022). Toward Self-Learning End-to-End Task-oriented Dialog Systems. 516–530. 1 indexed citations
9.
Li, Jinchao, Qi Zhu, Lars Lidén, et al.. (2021). Multi-domain Task-oriented Dialog Challenge II at DSTC9. National Conference on Artificial Intelligence. 3 indexed citations
10.
Gao, Xiang, et al.. (2020). Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. 4678–4699. 77 indexed citations
11.
Li, Ziming, Sung‐Jin Lee, Baolin Peng, et al.. (2020). Guided Dialogue Policy Learning without Adversarial Learning in the Loop. UvA-DARE (University of Amsterdam). 2308–2317. 11 indexed citations
12.
Wang, Huimin, Baolin Peng, & Kam‐Fai Wong. (2020). Learning Efficient Dialogue Policy from Demonstrations through Shaping. 6355–6365. 11 indexed citations
13.
Peng, Baolin, Chenguang Zhu, Michael Zeng, & Jianfeng Gao. (2020). Data Augmentation for Spoken Language Understanding via Pretrained Models. arXiv (Cornell University). 11 indexed citations
14.
Takanobu, Ryuichi, Qi Zhu, Jinchao Li, et al.. (2020). Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. 297–310. 1 indexed citations
15.
Peng, Baolin, Chenguang Zhu, Chunyuan Li, et al.. (2020). Few-shot Natural Language Generation for Task-Oriented Dialog. 172–182. 94 indexed citations
16.
Li, Jinchao, Baolin Peng, Sung‐Jin Lee, et al.. (2020). Results of the Multi-Domain Task-Completion Dialog Challenge. National Conference on Artificial Intelligence. 13 indexed citations
17.
Peng, Baolin, Xiujun Li, Jianfeng Gao, Jun Liu, & Kam‐Fai Wong. (2018). Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. 2182–2192. 96 indexed citations
18.
Wei, Zhongyu, et al.. (2018). Task-oriented Dialogue System for Automatic Diagnosis. 201–207. 113 indexed citations
19.
Peng, Baolin, Xiujun Li, Lihong Li, et al.. (2017). Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning.. arXiv (Cornell University). 6 indexed citations
20.
Fung, Gabriel Pui Cheong, et al.. (2016). ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. International Conference on Computational Linguistics. 194–197. 3 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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