Minlong Peng

1.5k total citations
21 papers, 556 citations indexed

About

Minlong Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Minlong Peng has authored 21 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Minlong Peng's work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (4 papers). Minlong Peng is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (4 papers). Minlong Peng collaborates with scholars based in China and United States. Minlong Peng's co-authors include Qi Zhang, Xuanjing Huang, Tao Gui, Jinlan Fu, Yicheng Zou, Yu–Gang Jiang, Zhongyu Wei, Qi Zhang, Zhigang Chen and Xu Zhou and has published in prestigious journals such as Information Processing & Management, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Minlong Peng

18 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minlong Peng China	9	484	77	71	61	48	21	556
Guozheng Rao China	8	327 0.7×	78 1.0×	65 0.9×	26 0.4×	21 0.4×	39	448
Yong Jiang China	10	445 0.9×	38 0.5×	36 0.5×	91 1.5×	51 1.1×	50	518
Md Tahmid Rahman Laskar Canada	11	258 0.5×	41 0.5×	40 0.6×	15 0.2×	21 0.4×	24	352
Yozen Liu United States	6	258 0.5×	93 1.2×	16 0.2×	75 1.2×	15 0.3×	21	361
Muhammed J. A. Patwary Bangladesh	13	158 0.3×	37 0.5×	21 0.3×	65 1.1×	20 0.4×	43	359
Changxuan Wan China	10	178 0.4×	105 1.4×	26 0.4×	27 0.4×	28 0.6×	59	334
Salma Jamoussi Tunisia	11	225 0.5×	61 0.8×	34 0.5×	22 0.4×	13 0.3×	56	330
Kai Gao China	8	382 0.8×	51 0.7×	19 0.3×	66 1.1×	26 0.5×	48	452
Saurabh Raj Sangwan India	11	230 0.5×	94 1.2×	33 0.5×	32 0.5×	8 0.2×	19	344

Countries citing papers authored by Minlong Peng

Since Specialization

Citations

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

Fields of papers citing papers by Minlong Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minlong Peng

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

20 of 20 papers shown

Wu, Song, et al.. (2025). DocTER: Evaluating document-based knowledge editing. Information Processing & Management. 63(1). 104299–104299.

Peng, Minlong, et al.. (2024). Fooling the Textual Fooler via Randomizing Latent Representations. 14403–14421.

Zhang, Liang, Minlong Peng, Guozhao Ma, et al.. (2024). One2Set + Large Language Model: Best Partners for Keyphrase Generation. 11140–11153.

Zhao, Jun, Yongxin Zhang, Qi Zhang, et al.. (2023). Actively Supervised Clustering for Open Relation Extraction. 4985–4997. 1 indexed citations

Zhao, Jun, Xin Zhao, Qi Zhang, et al.. (2023). RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. 5 indexed citations

Liang, Di, Rumei Li, Yuntao Li, et al.. (2022). Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion. 45–57. 5 indexed citations

Wang, Xin, Minlong Peng, Mingming Sun, & Ping Li. (2022). OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6213–6226. 7 indexed citations

Lao, Yingjie, et al.. (2022). NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. 1–9. 5 indexed citations

Zou, Yicheng, Lujun Zhao, Yangyang Kang, et al.. (2021). Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14665–14673. 28 indexed citations

10.

Peng, Minlong & Qi Zhang. (2020). Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. 251–265. 5 indexed citations

11.

Peng, Minlong, Ruotian Ma, Qi Zhang, et al.. (2020). Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons. 678–688. 3 indexed citations

12.

Gui, Tao, Yicheng Zou, Qi Zhang, et al.. (2019). A Lexicon-Based Graph Neural Network for Chinese NER. 1040–1050. 154 indexed citations

13.

Gui, Tao, Qi Zhang, Lujun Zhao, et al.. (2019). Long Short-Term Memory with Dynamic Skip Connections. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6481–6488. 21 indexed citations

14.

Gui, Tao, Qi Zhang, Liang Zhu, et al.. (2019). Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. 535–544. 13 indexed citations

15.

Peng, Minlong, Qi Zhang, Xiaoyu Xing, et al.. (2019). Trainable Undersampling for Class-Imbalance Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4707–4714. 83 indexed citations

16.

Zhang, Fubao, Weidong Zhang, Qi Zhang, et al.. (2019). Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. 95–104. 29 indexed citations

17.

Gui, Tao, et al.. (2019). Cooperative Multimodal Approach to Depression Detection in Twitter. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 110–117. 77 indexed citations

18.

Peng, Minlong, Qi Zhang, Xiaoyu Xing, et al.. (2019). Learning Task-Specific Representation for Novel Words in Sequence Labeling. 5146–5152. 5 indexed citations

19.

Peng, Minlong, Qi Zhang, Yu–Gang Jiang, & Xuanjing Huang. (2018). Cross-Domain Sentiment Classification with Target Domain Specific Information. 2505–2513. 54 indexed citations

20.

Gui, Tao, Qi Zhang, Haoran Huang, Minlong Peng, & Xuanjing Huang. (2017). Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. 2411–2420. 55 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.

Explore authors with similar magnitude of impact