Pengjun Xie

1.8k total citations
49 papers, 674 citations indexed

About

Pengjun Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Pengjun Xie has authored 49 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Pengjun Xie's work include Topic Modeling (41 papers), Natural Language Processing Techniques (33 papers) and Multimodal Machine Learning Applications (10 papers). Pengjun Xie is often cited by papers focused on Topic Modeling (41 papers), Natural Language Processing Techniques (33 papers) and Multimodal Machine Learning Applications (10 papers). Pengjun Xie collaborates with scholars based in China, United States and Cayman Islands. Pengjun Xie's co-authors include Guangwei Xu, Ning Ding, Chunping Ma, Wei Lu, Luo Si, Hai-Tao Zheng, Dingkun Long, Zhiyuan Liu, Yulin Chen and Xiaobin Wang and has published in prestigious journals such as ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam), arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Pengjun Xie

43 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengjun Xie China 13 586 77 73 65 43 49 674
Haoruo Peng United States 12 386 0.7× 62 0.8× 49 0.7× 33 0.5× 22 0.5× 21 471
Giannis Bekoulis Belgium 8 440 0.8× 43 0.6× 79 1.1× 58 0.9× 81 1.9× 14 504
Guohong Fu China 15 905 1.5× 112 1.5× 96 1.3× 61 0.9× 140 3.3× 62 969
Feiyu Xu Germany 14 570 1.0× 34 0.4× 119 1.6× 42 0.6× 78 1.8× 61 657
Saurabh Kataria United States 10 305 0.5× 89 1.2× 160 2.2× 39 0.6× 23 0.5× 27 422
Yi Luan United States 9 621 1.1× 126 1.6× 104 1.4× 63 1.0× 71 1.7× 19 697
Anastasia Shimorina France 6 396 0.7× 67 0.9× 50 0.7× 27 0.4× 26 0.6× 11 478
Naushad UzZaman United States 11 527 0.9× 63 0.8× 31 0.4× 37 0.6× 75 1.7× 22 564
Jinan Xu China 12 624 1.1× 126 1.6× 71 1.0× 44 0.7× 20 0.5× 94 703
Jordi Turmo Spain 12 364 0.6× 48 0.6× 109 1.5× 29 0.4× 30 0.7× 40 439

Countries citing papers authored by Pengjun Xie

Since Specialization
Citations

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

Fields of papers citing papers by Pengjun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengjun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Pengjun Xie. A scholar is included among the top collaborators of Pengjun Xie 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 Pengjun Xie. Pengjun Xie 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
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Zhang, Xin, Yanzhao Zhang, Dingkun Long, et al.. (2025). Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models. 9274–9285. 1 indexed citations
5.
Wang, Mengru, Yunzhi Yao, Ziwen Xu, et al.. (2024). Knowledge Mechanisms in Large Language Models: A Survey and Perspective. 7097–7135. 1 indexed citations
6.
Zhang, Longhui, Yanzhao Zhang, Dingkun Long, et al.. (2024). A Two-Stage Adaptation of Large Language Models for Text Ranking. 11880–11891. 1 indexed citations
7.
Chen, Zhuo, Xinyu Wang, Yong Jiang, et al.. (2024). Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. 7683–7694. 2 indexed citations
8.
Yu, Tianyu, Chao Lou, Shen Huang, et al.. (2024). SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19458–19467. 2 indexed citations
9.
Li, Yangning, Shirong Ma, Xiaobin Wang, et al.. (2024). EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18582–18590. 19 indexed citations
10.
Chen, Boli, et al.. (2023). MGeo: Multi-Modal Geographic Language Model Pre-Training. 185–194. 10 indexed citations
11.
Zhang, Yanzhao, et al.. (2023). Text Representation Distillation via Information Bottleneck Principle. 14372–14383. 1 indexed citations
12.
Ding, Ning, Yulin Chen, Ganqu Cui, et al.. (2023). Few-shot Classification with Hypersphere Modeling of Prototypes. 895–917. 4 indexed citations
13.
Tan, Zeqi, Shen Huang, Yinghui Li, et al.. (2023). DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. 2014–2028. 3 indexed citations
14.
Long, Dingkun, et al.. (2022). Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. 526–537. 5 indexed citations
15.
Shen, Yongliang, Xiaobin Wang, Zeqi Tan, et al.. (2022). Parallel Instance Query Network for Named Entity Recognition. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 947–961. 43 indexed citations
16.
Wang, Xinyu, Yongliang Shen, Tao Wang, et al.. (2022). DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. 1457–1468. 29 indexed citations
17.
Chen, Boli, Guangwei Xu, Xiaobin Wang, et al.. (2022). AISHELL-NER: Named Entity Recognition from Chinese Speech. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8352–8356. 14 indexed citations
18.
Xie, Pengjun, et al.. (2022). Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4049–4060. 10 indexed citations
19.
Chen, Qian, Fuli Feng, Lijie Wen, Chunping Ma, & Pengjun Xie. (2021). Counterfactual Inference for Text Classification Debiasing. 5434–5445. 47 indexed citations
20.
Yi, Yang, et al.. (2017). Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task.. International Joint Conference on Natural Language Processing. 41–46. 20 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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