Pengfei Liu

6.0k citations

80 papers · 2.3k indexed · 3 hit papers · h-index 23

Artificial Intelligence top 0.5%
- Topic Modeling 41
- Natural Language Processing Techniques 34
- Advanced Text Analysis Techniques 17
- Sentiment Analysis and Opinion Mining 10
- Speech Recognition and Synthesis 9
- Text and Document Classification Technologies 9
- Speech and dialogue systems 4
Computer Vision and Pattern Recognition top 5%
- Multimodal Machine Learning Applications 5
Health Informatics top 10%
Signal Processing top 5%
Computational Mathematics

Co-authors: Xipeng Qiu Xuanjing Huang Helen Meng Shafiq Joty Xinchi Chen Graham Neubig Yixin Liu Dragomir Radev
Cited by: Artificial Intelligence Computer Vision and Pattern Recognition Health Informatics
Journals: Bioinformatics (1 paper)Sensors (1 paper)Ocean Engineering (1 paper)
Partner nations: China United States Hong Kong

In The Last Decade

Pengfei Liu

73 papers receiving 2.2k citations

Hit Papers

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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.

2022 Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2017 Adversarial Multi-task Learning for Text Classification
2015 Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings

Peers

Countries citing papers authored by Pengfei Liu

Since Specialization

Citations

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

Fields of papers citing papers by Pengfei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pengfei Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pengfei Liu Line = papers co-authored together Pengfei Liu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Physics-Informed Multi-Task Neural Network (PINN) Learning for Ultra-High-Performance Concrete (UHPC) Strength Prediction Buildings ·Yan Long,Pengfei Liu,Yu‐Feng Yao,Fan Yang,Feng Xu	2025	0
2	Payload transfer and swing suppression via robust tracking control based on disturbance employment for ship to ship crane systems Ocean Engineering ·Guangrui Luan,Pengfei Liu,Menghua Zhang,He Ma,Donghong Ning,Guijie Liu	2025	2
3	LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection Sensors ·Qijun Feng,Chunyang Zhao,Pengfei Liu,Zhichao Zhang,Yue Jin,W. H. Tian	2025	0
4	A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface npj Digital Medicine ·Ximing Zhu,S S Chu,Jie Fu,Shizuo Ao,Tingting Liu,Zhenxing Liao,Jiamei Song,Yuhong Wang,Yanping Guo,Qinghong Song,Pengfei Liu,Shuang Li,Bing Chen,Bin Yao	2025	1
5	Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization Yixin Liu,Alexander R. Fabbri,Jiawen Chen,Yilun Zhao,Simeng Han,Shafiq Joty,Pengfei Liu,Dragomir Radev,Chien-Sheng Wu,Arman Cohan	2024	4
6	BRIO: Bringing Order to Abstractive Summarizationbreakdown → Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Yixin Liu,Pengfei Liu,Dragomir Radev,Graham Neubig	2022	120
7	Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition Ho-Lam Chung,Junan Li,Pengfei Liu,Wai-Kim Leung,Xixin Wu,Helen Meng	2022	0
8	Towards a Unified Multi-Dimensional Evaluator for Text Generation Ming Zhong,Yang Liu,Da Yin,Yuning Mao,Yizhu Jiao,Pengfei Liu,Chenguang Zhu,Heng Ji,Jiawei Han	2022	60
9	Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa Junqi Dai,Hang Yan,Tianxiang Sun,Pengfei Liu,Xipeng Qiu	2021	113
10	Star-Transformer Qipeng Guo,Xipeng Qiu,Pengfei Liu,Yunfan Shao,Xiangyang Xue,Zheng Zhang	2019	102
11	Task assignment method based on cloud-fog cooperative model Pengfei Liu,Yingchi Mao,Longbao Wang	2019	0
12	Adversarial Multi-task Learning for Text Classificationbreakdown → Pengfei Liu,Xipeng Qiu,Xuanjing Huang	2017	393
13	Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network Jifan Chen,Qi Zhang,Pengfei Liu,Xipeng Qiu,Xuanjing Huang	2016	59
14	Recurrent neural network for text classification with multi-task learning arXiv (Cornell University) ·Pengfei Liu,Xipeng Qiu,Xuanjing Huang	2016	116
15	Long Short-Term Memory Neural Networks for Chinese Word Segmentation Xinchi Chen,Xipeng Qiu,Chenxi Zhu,Pengfei Liu,Xuanjing Huang	2015	152
16	Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddingsbreakdown → Pengfei Liu,Shafiq Joty,Helen Meng	2015	290
17	Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents Pengfei Liu,Xipeng Qiu,Xinchi Chen,Shiyu Wu,Xuanjing Huang	2015	103
18	Learning context-sensitive word embeddings with neural tensor skip-gram model International Conference on Artificial Intelligence ·Pengfei Liu,Xipeng Qiu,Xuanjing Huang	2015	51
19	Integrating acoustic and state-transition models for free phone recognition in L2 English speech using multi-distribution deep neural networks Kun Li,Xiaojun Qian,Kang Shi-ying,Pengfei Liu,Helen Meng	2015	11
20	An empirical study on college students physical exercise behavior change based on the transtheoretical model Biotechnology : an Indian journal ·Haiying Zhang,Pengfei Liu	2014	1

About Pengfei Liu

Pengfei Liu is a scholar working on Artificial Intelligence, Information Systems and General Social Sciences, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (41 papers), Natural Language Processing Techniques (34 papers), Advanced Text Analysis Techniques (17 papers), Sentiment Analysis and Opinion Mining (10 papers), Speech Recognition and Synthesis (9 papers), Text and Document Classification Technologies (9 papers), Multimodal Machine Learning Applications (5 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (316 citations) and Health Informatics (17 citations). Pengfei Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xipeng Qiu, Xuanjing Huang, Helen Meng, Shafiq Joty, Xinchi Chen, Graham Neubig, Yixin Liu, Dragomir Radev, Jifan Chen and Chenxi Zhu. Their work appears in journals such as Bioinformatics, Sensors and Ocean Engineering.

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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