Lihe Yang

2.0k total citations · 3 hit papers
10 papers, 931 citations indexed

About

Lihe Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Lihe Yang has authored 10 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Civil and Structural Engineering. Recurrent topics in Lihe Yang's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Data Classification (2 papers). Lihe Yang is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Data Classification (2 papers). Lihe Yang collaborates with scholars based in China, Hong Kong and Australia. Lihe Yang's co-authors include Lei Qi, Yinghuan Shi, Wei Zhuo, Yang Gao, Hengshuang Zhao, Xiaogang Xu, Jiashi Feng, Bingyi Kang, Wei Zhang and Litong Feng and has published in prestigious journals such as IEEE Signal Processing Letters, Transactions of Tianjin University and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Lihe Yang

9 papers receiving 920 citations

Hit Papers

Depth Anything: Unleashing the Power of Lar... 2022 2026 2023 2024 2024 2022 2023 50 100 150 200 250
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. Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
    2024 292 citations Lihe Yang, Bingyi Kang et al. profile →
  2. ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation
    2022 286 citations Lihe Yang, Wei Zhuo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  3. Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
    2023 235 citations Lihe Yang, Lei Qi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lihe Yang China 7 570 281 169 89 68 10 931
Amit Agrawal United States 6 849 1.5× 343 1.2× 160 0.9× 79 0.9× 63 0.9× 14 1.1k
Guangliang Cheng China 17 731 1.3× 341 1.2× 159 0.9× 65 0.7× 88 1.3× 33 988
Yibo Yang China 14 742 1.3× 402 1.4× 119 0.7× 70 0.8× 50 0.7× 32 1.1k
Xiaokang Chen China 11 846 1.5× 408 1.5× 152 0.9× 184 2.1× 92 1.4× 38 1.2k
Chao Peng China 10 1.0k 1.8× 444 1.6× 163 1.0× 139 1.6× 84 1.2× 23 1.4k
Wei Zhuo China 7 604 1.1× 339 1.2× 143 0.8× 71 0.8× 74 1.1× 18 832
Yuhui Yuan China 10 968 1.7× 466 1.7× 139 0.8× 191 2.1× 56 0.8× 22 1.3k
Ambrish Tyagi United States 9 954 1.7× 413 1.5× 160 0.9× 75 0.8× 82 1.2× 13 1.2k
Jun Hao Liew Singapore 9 799 1.4× 431 1.5× 136 0.8× 137 1.5× 80 1.2× 12 1.1k

Countries citing papers authored by Lihe Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lihe Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihe Yang

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

All Works

10 of 10 papers shown
1.
Yang, Lihe, Bingyi Kang, Zilong Huang, et al.. (2024). Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. 10371–10381. 292 indexed citations breakdown →
2.
Feng, Jiashi, et al.. (2024). Depth Anything V2. 21875–21911. 18 indexed citations
3.
Yang, Lihe, et al.. (2023). Radar-Infrared Sensor Fusion Based on Hierarchical Features Mining. IEEE Signal Processing Letters. 31. 66–70. 6 indexed citations
4.
5.
Li, Yijiang, Xinjiang Wang, Lihe Yang, et al.. (2023). Diverse Cotraining Makes Strong Semi-Supervised Segmentor. 16009–16021. 20 indexed citations
6.
Yang, Lihe, Lei Qi, Litong Feng, Wei Zhang, & Yinghuan Shi. (2023). Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. 7236–7246. 235 indexed citations breakdown →
7.
Zhao, Zhen, et al.. (2023). Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. 11350–11359. 62 indexed citations
8.
Yang, Lihe, Zhen Zhao, Lei Qi, et al.. (2023). Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. 16141–16150. 8 indexed citations
9.
Yang, Lihe, Wei Zhuo, Lei Qi, Yinghuan Shi, & Yang Gao. (2022). ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4258–4267. 286 indexed citations breakdown →
10.
Yang, Lihe, et al.. (2008). Test on evaluation method for biodegradability of lubricants. Transactions of Tianjin University. 14(1). 61–65. 4 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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