Yinfeng Hao

501 total citations
11 papers, 338 citations indexed

About

Yinfeng Hao is a scholar working on Water Science and Technology, Nature and Landscape Conservation and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yinfeng Hao has authored 11 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 4 papers in Nature and Landscape Conservation and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yinfeng Hao's work include Water Quality Monitoring Technologies (10 papers), Fish Ecology and Management Studies (4 papers) and Water Quality Monitoring and Analysis (3 papers). Yinfeng Hao is often cited by papers focused on Water Quality Monitoring Technologies (10 papers), Fish Ecology and Management Studies (4 papers) and Water Quality Monitoring and Analysis (3 papers). Yinfeng Hao collaborates with scholars based in China, Fiji and United Kingdom. Yinfeng Hao's co-authors include Daoliang Li, Yanqing Duan, Xin Li, Qi Wang, Tao Chen, Liang Wang, Fang Peng, Wang Zhen-hu, Miao Zheng and Yingying Zheng and has published in prestigious journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and Engineering Applications of Artificial Intelligence.

In The Last Decade

Yinfeng Hao

10 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinfeng Hao China 6 270 110 73 66 45 11 338
Xiaoning Yu China 9 283 1.0× 81 0.7× 60 0.8× 45 0.7× 26 0.6× 15 371
Zhu Jia China 6 154 0.6× 58 0.5× 40 0.5× 35 0.5× 28 0.6× 28 318
Naomi A. Ubina Taiwan 9 216 0.8× 55 0.5× 31 0.4× 38 0.6× 13 0.3× 10 331
Chuang Yu China 10 218 0.8× 34 0.3× 52 0.7× 27 0.4× 21 0.5× 20 357
Wenkai Xu China 8 121 0.4× 39 0.4× 23 0.3× 154 2.3× 28 0.6× 15 356
Shale Rosen Norway 8 246 0.9× 196 1.8× 30 0.4× 32 0.5× 101 2.2× 14 414
Alzayat Saleh Australia 8 114 0.4× 45 0.4× 16 0.2× 33 0.5× 43 1.0× 15 213
Sébastien Villon France 5 129 0.5× 92 0.8× 15 0.2× 26 0.4× 78 1.7× 8 285
Eric L. Jinks Australia 7 165 0.6× 130 1.2× 12 0.2× 24 0.4× 60 1.3× 7 313
Meng Cui China 11 91 0.3× 39 0.4× 9 0.1× 35 0.5× 68 1.5× 21 296

Countries citing papers authored by Yinfeng Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yinfeng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinfeng Hao

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

All Works

11 of 11 papers shown
1.
Xu, Wenkai, et al.. (2025). Automatic fish weight estimation and 3D surface reconstruction with a lightweight instance segmentation model. Expert Systems with Applications. 288. 128275–128275. 2 indexed citations
2.
Hao, Yinfeng, et al.. (2025). Multimodal estimation of fish weight via two-stream Transformer and adaptive RGB-D fusion. Computers and Electronics in Agriculture. 241. 111248–111248.
3.
Li, Xin, et al.. (2024). Stereo matching and 3D reconstruction with NeRF supervision for accurate weight estimation in free-swimming fish. Computers and Electronics in Agriculture. 225. 109255–109255. 10 indexed citations
4.
Zhou, Xin‐Hui, et al.. (2024). Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture. Engineering Applications of Artificial Intelligence. 142. 109964–109964. 2 indexed citations
5.
Hao, Yinfeng, et al.. (2024). Underwater swimming fish mass estimation based on binocular vision. Aquaculture International. 32(6). 7973–7995. 3 indexed citations
6.
Li, Daoliang, Xin Li, Qi Wang, & Yinfeng Hao. (2022). Advanced Techniques for the Intelligent Diagnosis of Fish Diseases: A Review. Animals. 12(21). 2938–2938. 45 indexed citations
7.
Hao, Yinfeng, et al.. (2022). A novel method of fish tail fin removal for mass estimation using computer vision. Computers and Electronics in Agriculture. 193. 106601–106601. 26 indexed citations
8.
Li, Xin, et al.. (2022). A novel automatic detection method for abnormal behavior of single fish using image fusion. Computers and Electronics in Agriculture. 203. 107435–107435. 32 indexed citations
9.
Li, Daoliang, Miao Zheng, Fang Peng, et al.. (2020). Automatic counting methods in aquaculture: A review. Journal of the World Aquaculture Society. 52(2). 269–283. 71 indexed citations
10.
Li, Daoliang, Yinfeng Hao, & Yanqing Duan. (2019). Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review. Reviews in Aquaculture. 12(3). 1390–1411. 143 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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