Lei He

3.1k total citations · 1 hit paper
93 papers, 1.9k citations indexed

About

Lei He is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lei He has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 23 papers in Signal Processing and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lei He's work include Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (21 papers) and Natural Language Processing Techniques (20 papers). Lei He is often cited by papers focused on Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (21 papers) and Natural Language Processing Techniques (20 papers). Lei He collaborates with scholars based in China, United States and United Kingdom. Lei He's co-authors include Frank K. Soong, Sameer Antani, Scott Schaefer, George R. Thoma, L. Rodney Long, Nabil Aouf, Yao Qian, Bifeng Song, Shifeng Pan and Zhen-Hua Ling and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Lei He

85 papers receiving 1.7k citations

Hit Papers

NaturalSpeech: End-to-End Text-to-Speech Synthesis With H... 2024 2026 2025 2024 10 20 30 40
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.

  1. NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality
    2024 49 citations Xu Tan, Jiawei Chen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei He China 23 1.1k 528 466 151 148 93 1.9k
Xu Wang China 25 394 0.3× 1.6k 3.0× 558 1.2× 64 0.4× 117 0.8× 136 2.3k
Kai‐Lung Hua Taiwan 23 481 0.4× 1.2k 2.2× 108 0.2× 151 1.0× 105 0.7× 141 2.3k
Jie Song China 23 621 0.5× 910 1.7× 79 0.2× 157 1.0× 153 1.0× 103 2.0k
Junqing Yu China 20 811 0.7× 1.1k 2.2× 110 0.2× 165 1.1× 40 0.3× 78 1.8k
Quanshi Zhang China 20 915 0.8× 549 1.0× 125 0.3× 64 0.4× 44 0.3× 58 1.8k
Yitong Wang China 14 678 0.6× 1.7k 3.2× 654 1.4× 56 0.4× 50 0.3× 48 2.3k
Gan Sun China 24 925 0.8× 892 1.7× 101 0.2× 96 0.6× 78 0.5× 68 1.7k
Suk‐Hwan Lee South Korea 18 385 0.3× 871 1.6× 87 0.2× 105 0.7× 64 0.4× 188 1.4k
Wee Kheng Leow Singapore 20 464 0.4× 732 1.4× 73 0.2× 75 0.5× 78 0.5× 80 1.4k
Ki‐Ryong Kwon South Korea 18 365 0.3× 870 1.6× 90 0.2× 93 0.6× 65 0.4× 170 1.4k

Countries citing papers authored by Lei He

Since Specialization
Citations

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

Fields of papers citing papers by Lei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei He

This figure shows the co-authorship network connecting the top 25 collaborators of Lei He. A scholar is included among the top collaborators of Lei He 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 Lei He. Lei He 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
1.
2.
He, Lei, et al.. (2025). Development of a 1,000°C class creep testing machine for ultraminiature specimens and feasibility verification. Journal of the Mechanical Behavior of Materials. 34(1).
3.
Tan, Xu, Jiawei Chen, Haohe Liu, et al.. (2024). NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4234–4245. 49 indexed citations breakdown →
4.
Zhu, Yuming, et al.. (2024). Construction land reduction projects as a pathway to sustainability: an empirical analysis of risks factors in China. Environmental Science and Pollution Research. 31(10). 14553–14573. 3 indexed citations
5.
Zhou, Long, et al.. (2023). Prosody-Aware Speecht5 for Expressive Neural TTS. 1–5.
6.
7.
Song, Bifeng, et al.. (2023). Event-Triggered Hierarchical Planner for Autonomous Navigation in Unknown Environment. Drones. 7(12). 690–690. 1 indexed citations
8.
Chen, Zehua, Xu Tan, Ke Wang, et al.. (2022). Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8432–8436. 9 indexed citations
9.
Zhuang, Fuzhen, Ying Sun, Xiangliang Zhang, et al.. (2022). Adaptively sharing multi-levels of distributed representations in multi-task learning. Information Sciences. 591. 226–234. 3 indexed citations
10.
Wen, Li, Yuan Liang, Xuan Zhang, et al.. (2021). A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos. Scientific Reports. 11(1). 16831–16831. 47 indexed citations
11.
Schwab, Sandra, et al.. (2017). Perception of vocal tract tension: exploring possible prosodic correlates. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations
12.
He, Lei, Wei Li, & Hai Zhuge. (2016). Exploring differential topic models for comparative summarization of scientific papers. Aston Publications Explorer (Aston University). 1028–1038. 9 indexed citations
13.
Fan, Yuchen, Yao Qian, Frank K. Soong, & Lei He. (2016). Speaker and language factorization in DNN-based TTS synthesis. 5540–5544. 22 indexed citations
14.
Lei, Ming, Yao Qian, Frank K. Soong, et al.. (2015). Modeling F0 trajectories in hierarchically structured deep neural networks. Speech Communication. 76. 82–92. 14 indexed citations
15.
Wang, Peilu, Yao Qian, Frank K. Soong, Lei He, & Hai Zhao. (2015). Word embedding for recurrent neural network based TTS synthesis. 4879–4883. 31 indexed citations
16.
17.
Fang, Hongqing, et al.. (2014). Human activity recognition based on feature selection in smart home using back-propagation algorithm. ISA Transactions. 53(5). 1629–1638. 57 indexed citations
18.
He, Lei, L. Rodney Long, Sameer Antani, & George R. Thoma. (2012). Histology image analysis for carcinoma detection and grading. Computer Methods and Programs in Biomedicine. 107(3). 538–556. 270 indexed citations
19.
He, Lei. (2011). Design and Strength Analysis of Driving Colter Based on SolidWorks. Anhui nongye kexue. 1 indexed citations
20.
Wang, Xun, et al.. (2003). A divide and conquer deformable contour method with a model based searching algorithm. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(5). 738–751. 5 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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