Jian Wu

7.5k total citations · 4 hit papers
84 papers, 3.6k citations indexed

About

Jian Wu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jian Wu has authored 84 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 58 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jian Wu's work include Speech Recognition and Synthesis (56 papers), Speech and Audio Processing (54 papers) and Music and Audio Processing (41 papers). Jian Wu is often cited by papers focused on Speech Recognition and Synthesis (56 papers), Speech and Audio Processing (54 papers) and Music and Audio Processing (41 papers). Jian Wu collaborates with scholars based in United States, China and Hong Kong. Jian Wu's co-authors include Jinyu Li, Takuya Yoshioka, Xiong Xiao, Shujie Liu, Lei Xie, Yu Wu, Sanyuan Chen, Tianyan Zhou, Chengyi Wang and Naoyuki Kanda and has published in prestigious journals such as International Journal of Computer Vision, Artificial Intelligence and IEEE Transactions on Cybernetics.

In The Last Decade

Jian Wu

81 papers receiving 3.4k 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.

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

2022 832 citations Sanyuan Chen, Chengyi Wang et al. profile →
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

2020 432 citations Yanxin Hu, Yun Liu et al. profile →
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

2021 388 citations Dejun Jiang, Zhenhua Wu et al. Journal of Cheminformatics profile →
Sequential Recommender System based on Hierarchical Attention Networks

2018 236 citations Jian Wu et al. profile →

Peers

Countries citing papers authored by Jian Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jian Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wu. A scholar is included among the top collaborators of Jian 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 Jian Wu. Jian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Research on a Trellis Grape Stem Recognition Method Based on YOLOv8n-GP 2024 ·Agriculture ·Tong Jiang, Yane Li, Hailin Feng, Jian Wu, Wen‐Hua Sun, Yaoping Ruan	5
2	What can machine vision do for lymphatic histopathology image analysis: a comprehensive review 2024 ·Artificial Intelligence Review ·Haoyuan Chen, Xiaoqi Li, Chen Li, (unknown), (unknown), Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li	1
3	ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge 2024 ·Wang He, Pengcheng Guo, (unknown), Ao Zhang, (unknown), Lei Xie, Wei Chen, Pan Zhou, Hui Bu, Xin Xu, Binbin Zhang, Zhuo Chen, Jian Wu, (unknown), Eng Siong Chng, (unknown)	3
4	Improving Transformer-Based Networks with Locality for Automatic Speaker Verification 2023 ·(unknown), Yongheng Zhao, Gang Liu, John H. L. Hansen, Jian Wu	10
5	Artificial Intelligence for Dunhuang Cultural Heritage Protection: The Project and the Dataset 2022 ·International Journal of Computer Vision ·(unknown), Cong Lin, Shijie Zhang, Chunxue Wang, (unknown), (unknown), Xixiang Liu, (unknown), (unknown), Shaodi You, Jian Wu, Jiawan Zhang	39
6	Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition? 2022 ·Interspeech 2022 ·Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Zhuo Chen, Peidong Wang, Gang Liu, Jinyu Li, Jian Wu, Xiangzhan Yu, Furu Wei	20
7	Multiple interleaving interests modeling of sequential user behaviors in e-commerce platform 2021 ·World Wide Web ·Yuqiang Han, Qian Li, Yang Xiao, Hucheng Zhou, Zhenglu Yang, Jian Wu	2
8	ResNeXt and Res2Net Structures for Speaker Verification 2021 ·Tianyan Zhou, Yong Zhao, Jian Wu	103
9	Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models breakdown → 2021 ·Journal of Cheminformatics ·Dejun Jiang, Zhenhua Wu, Chang‐Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dongsheng Cao, Jian Wu, Tingjun Hou	388
10	Investigation of Practical Aspects of Single Channel Speech Separation for ASR 2021 ·Jian Wu, Zhuo Chen, Sanyuan Chen, Yu Wu, Takuya Yoshioka, Naoyuki Kanda, Shujie Liu, Jinyu Li	9
11	DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement breakdown → 2020 ·Yanxin Hu, Yun Liu, Shubo Lv, Mengtao Xing, Shimin Zhang, Yihui Fu, Jian Wu, (unknown), Lei Xie	432
12	Improving Deep CNN Networks with Long Temporal Context for Text-Independent Speaker Verification 2020 ·Yong Zhao, Tianyan Zhou, Zhuo Chen, Jian Wu	18
13	Adaptation of RNN Transducer with Text-To-Speech Technology for Keyword Spotting 2020 ·Eva Sharma, Guoli Ye, (unknown), Rui Zhao, (unknown), Jian Wu, Lei He, (unknown), Yifan Gong	13
14	End-to-End Partial Convolutions Neural Networks for Dunhuang Grottoes Wall-Painting Restoration 2019 ·(unknown), Cong Lin, Shijie Zhang, Shaodi You, (unknown), Jian Wu, Jiawan Zhang	21
15	Accuracy and reliability of feature selection by Chinese fingerprint examiners 2017 ·Forensic Sciences Research ·(unknown), (unknown), Glenn Langenburg, Jian Wu	3
16	Delving deeper into convolutional neural networks for camera relocalization 2017 ·Jian Wu, (unknown), Xiaolin Hu	86
17	Robust speech recognition using cepstral minimum-mean-square-error noise suppressor 2008 ·Dong Yu, (unknown), Jasha Droppo, Jian Wu, Yifan Gong, Alex Acero, Ivan Tashev, Mike Seltzer	5
18	A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·Dong Yu, Li Deng, Jasha Droppo, Jian Wu, Yifan Gong, Alex Acero	60
19	Inverted Indexing for Composition-Oriented Service Discovery 2007 ·Li Kuang, Ying Li, Jian Wu, Shuiguang Deng, Zhaohui Wu	21
20	An Environment-Compensated Minimum Classification Error Training Approach Based on Stochastic Vector Mapping 2006 ·IEEE Transactions on Audio Speech and Language Processing ·Jian Wu, Qiang Huo	26

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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