Yang Hu

4.4k total citations · 1 hit paper
83 papers, 1.4k citations indexed

About

Yang Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Yang Hu has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 8 papers in Global and Planetary Change. Recurrent topics in Yang Hu's work include Advanced Neural Network Applications (8 papers), Geochemistry and Geologic Mapping (6 papers) and Traditional Chinese Medicine Studies (6 papers). Yang Hu is often cited by papers focused on Advanced Neural Network Applications (8 papers), Geochemistry and Geologic Mapping (6 papers) and Traditional Chinese Medicine Studies (6 papers). Yang Hu collaborates with scholars based in China, United States and United Kingdom. Yang Hu's co-authors include Guihua Wen, Jiajie Peng, Tianyi Zhao, Linda R. Valsdottir, Tianyi Zang, Larry S. Davis, Naifei Hu, Dan Dai, S. Okamoto and Yoko Ogawa and has published in prestigious journals such as The Journal of Physical Chemistry B, Remote Sensing of Environment and Chemical Engineering Journal.

In The Last Decade

Yang Hu

68 papers receiving 1.4k citations

Hit Papers

Identifying drug–target interactions based on graph convo... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Hu China 22 270 258 209 189 182 83 1.4k
Sebastian Raschka United States 15 240 0.9× 295 1.1× 350 1.7× 20 0.1× 95 0.5× 23 1.6k
Pin Wang China 21 152 0.6× 559 2.2× 809 3.9× 57 0.3× 429 2.4× 170 2.3k
Michel Lang Germany 14 263 1.0× 123 0.5× 545 2.6× 28 0.1× 80 0.4× 39 1.7k
Tian Tian China 18 298 1.1× 107 0.4× 106 0.5× 43 0.2× 55 0.3× 384 1.7k
Lan Huang China 25 209 0.8× 103 0.4× 99 0.5× 26 0.1× 87 0.5× 132 1.7k
Chunyu Wang China 29 1.5k 5.6× 438 1.7× 200 1.0× 24 0.1× 54 0.3× 169 2.8k
Gaurav Gupta India 19 110 0.4× 252 1.0× 376 1.8× 43 0.2× 224 1.2× 88 1.4k
Yong Yang China 23 310 1.1× 222 0.9× 102 0.5× 82 0.4× 171 0.9× 237 2.1k
Abdullah Mohamed Egypt 25 89 0.3× 152 0.6× 307 1.5× 16 0.1× 114 0.6× 172 2.3k
Ya Li China 23 138 0.5× 44 0.2× 150 0.7× 50 0.3× 128 0.7× 202 2.1k

Countries citing papers authored by Yang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Hu. A scholar is included among the top collaborators of Yang Hu 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 Yang Hu. Yang Hu 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.
Li, Rui, Kun Yang, Yang Hu, et al.. (2024). Predicting the porosity of as-built additive manufactured samples based on machine learning method for small datasets. Optics & Laser Technology. 177. 111203–111203.
3.
Ding, Yang, Liyou Wu, Xiang Lu, et al.. (2024). A sustainable and robust Janus film Inspired by the bird’s nest structure for efficient year-round outdoor thermal management. Chemical Engineering Journal. 500. 156918–156918. 10 indexed citations
4.
Chang, Jingjing, Jie Xue, Fanjiang Zeng, et al.. (2023). Dynamic Bayesian networks with application in environmental modeling and management: A review. Environmental Modelling & Software. 170. 105835–105835. 20 indexed citations
5.
Xu, Xianbao, et al.. (2023). Feature fusion strategy and improved GhostNet for accurate recognition of fish feeding behavior. Computers and Electronics in Agriculture. 214. 108310–108310. 26 indexed citations
6.
Zhou, Jian, Quan Zheng, Qiang Pu, et al.. (2023). Perioperative and oncological outcomes of uniportal versus three-port thoracoscopic segmentectomy for lung cancer: a propensity score matching analysis. Translational Lung Cancer Research. 12(3). 446–459. 7 indexed citations
7.
Xiu, Weigang, et al.. (2023). Immune-related mechanisms and immunotherapy in extragonadal germ cell tumors. Frontiers in Immunology. 14. 1145788–1145788. 3 indexed citations
8.
Wang, Zhixing, et al.. (2022). MEMe: A Mutually Enhanced Modeling Method for Efficient and Effective Human Pose Estimation. Sensors. 22(2). 632–632. 7 indexed citations
9.
Li, Yanghui, et al.. (2021). Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation. Journal of Biomedical Informatics. 117. 103727–103727. 4 indexed citations
11.
Hu, Yang, Guihua Wen, Pei Yang, et al.. (2021). Fully-channel regional attention network for disease-location recognition with tongue images. Artificial Intelligence in Medicine. 118. 102110–102110. 23 indexed citations
12.
Zhao, Tianyi, Yang Hu, Linda R. Valsdottir, Tianyi Zang, & Jiajie Peng. (2020). Identifying drug–target interactions based on graph convolutional network and deep neural network. Briefings in Bioinformatics. 22(2). 2141–2150. 228 indexed citations breakdown →
13.
Wen, Guihua, et al.. (2020). Grouping attributes zero-shot learning for tongue constitution recognition. Artificial Intelligence in Medicine. 109. 101951–101951. 29 indexed citations
14.
Wen, Guihua, et al.. (2020). Cross domains adversarial learning for Chinese named entity recognition for online medical consultation. Journal of Biomedical Informatics. 112. 103608–103608. 20 indexed citations
15.
Cao, Xin, Yang Hu, Xiaolin Zhu, et al.. (2019). A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images. Remote Sensing of Environment. 224. 401–411. 64 indexed citations
16.
Cheng, Feng, Deyan Draganov, Jianghai Xia, Michael Behm, & Yang Hu. (2017). Deblurring Directional-source Effects for Passive Surface-wave Surveys using Multidimensional Deconvolution. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
17.
Hu, Yang, et al.. (2016). Characterization and genesis of the Middle and Late Eocene tectonic changes in Zhu 1 Depression of Pearl River Mouth Basin. 37(5). 785. 12 indexed citations
18.
Zhang, Yong, et al.. (2009). Field measurements of meadow surface emissivity spectra at the Xilinhaote grassland of China. Acta Pratacultural Science. 18(5). 31–39. 4 indexed citations
19.
Hu, Yang, et al.. (2008). Combined Microwave Radiometer and Micro Rain Radar Analysis of Cloud Liquid Water. AGU Fall Meeting Abstracts. 2008.
20.
Hu, Yang, Hong Sun, & Naifei Hu. (2007). Assembly of layer-by-layer films of electroactive hemoglobin and surfactant didodecyldimethylammonium bromide. Journal of Colloid and Interface Science. 314(1). 131–140. 35 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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