Pengcheng Wu

2.9k total citations · 2 hit papers
41 papers, 1.8k citations indexed

About

Pengcheng Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Pengcheng Wu has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Pengcheng Wu's work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers) and Recommender Systems and Techniques (7 papers). Pengcheng Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers) and Recommender Systems and Techniques (7 papers). Pengcheng Wu collaborates with scholars based in China, Singapore and United States. Pengcheng Wu's co-authors include Steven C. H. Hoi, Xudong Sun, D. Wang, Thomas G. Dietterich, Ji Wan, Yongdong Zhang, Jianke Zhu, Jintao Li, Peilin Zhao and Chunyan Miao and has published in prestigious journals such as IEEE Access, Analytica Chimica Acta and Sensors.

In The Last Decade

Pengcheng Wu

38 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

Deep Learning for Content-Based Image Retrieval

2014 544 citations Ji Wan, D. Wang et al. profile →
Face detection using deep learning: An improved faster RCNN approach

2018 472 citations Pengcheng Wu, Steven C. H. Hoi et al. Neurocomputing profile →

Peers

Countries citing papers authored by Pengcheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Pengcheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Wu. A scholar is included among the top collaborators of Pengcheng Wu 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 Pengcheng Wu. Pengcheng Wu 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

#	Work	Indexed citations
1	Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models 2025 ·(unknown), Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao	0
2	Evolutionary Reinforcement Learning: A Systematic Review and Future Directions 2025 ·Mathematics ·(unknown), Fan Lin, Guorong Cai, (unknown), (unknown), Yang Liu, Pengcheng Wu	0
3	Detection of composite heavy metal content in rape leaf using feature clustering and hyperspectral imaging technology 2025 ·Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ·Jun Sun, Bo Li, Liu Yang, (unknown), Lei Shi, Xin Zhou, Pengcheng Wu, Kunshan Yao	1
4	Long afterglow hybrid nanoplatform for integrated NIR-Ⅱ imaging diagnosis and triple-synergistic treatment of choroidal melanoma 2024 ·Talanta ·Lü Yang, Yunjian Wang, (unknown), (unknown), Pengcheng Wu, Yu Du, Yuping Wang, (unknown), (unknown), Weisheng Liu	1
5	Multi-level data fusion strategy based on spectral and image information for identifying varieties of soybean seeds 2024 ·Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ·Bo Li, (unknown), Yang Liu, Lei Shi, (unknown), Pengcheng Wu	12
6	Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm 2023 ·Sensors ·Shijie Zhou, Zelun Li, Zhongliang Lv, Chuande Zhou, Pengcheng Wu, (unknown), (unknown)	2
7	A Survey on Reinforcement Learning for Recommender Systems 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao	20
8	Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs 2023 ·Neural Computing and Applications ·(unknown), Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu	8
9	Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea 2023 ·Journal of Food Composition and Analysis ·Haoran Li, Pengcheng Wu, Jisheng Dai, Tianhong Pan, Melvin Holmes, Tao Chen, Xiaobo Zou	10
10	A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection 2023 ·Analytica Chimica Acta ·Haoran Li, Pengcheng Wu, Jisheng Dai, Xiaobo Zou	11
11	Federated low-rank tensor projections for sequential recommendation 2022 ·Knowledge-Based Systems ·(unknown), Fan Lin, Jianbing Xiahou, (unknown), Pengcheng Wu, Yong Liu	10
12	Context-aware reinforcement learning for course recommendation 2022 ·Applied Soft Computing ·(unknown), Fan Lin, (unknown), Wenhua Zeng, Yong Liu, Pengcheng Wu	17
13	Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation 2022 ·Knowledge-Based Systems ·(unknown), Fan Lin, Wenhua Zeng, Jianbing Xiahou, (unknown), Pengcheng Wu, Yong Liu, Chunyan Miao	25
14	Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen‐Wei Chen, (unknown), Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, (unknown), Shoji Kido, Noriyuki Tomiyama	2
15	Adaptive course recommendation in MOOCs 2021 ·Knowledge-Based Systems ·(unknown), Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu	54
16	Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation 2020 ·IEEE Access ·(unknown), Fan Lin, Beizhan Wang, (unknown), (unknown), Jianbing Xiahou, Pengcheng Wu	2
17	HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search 2016 ·Neurocomputing ·Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi	8
18	Online Multi-Modal Distance Metric Learning with Application to Image Retrieval 2015 ·IEEE Transactions on Knowledge and Data Engineering ·Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu	59
19	Virtual Instrumentation Design on Earthquake Simulation System 2015 ·Advances in intelligent systems research ·(unknown), (unknown), Cheng‐Li Lin, Pengcheng Wu, (unknown)	2
20	Online multimodal deep similarity learning with application to image retrieval 2013 ·Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, D. Wang, Chunyan Miao	109

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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