Hao Guo

2.6k total citations · 1 hit paper
107 papers, 2.0k citations indexed

About

Hao Guo is a scholar working on Electrical and Electronic Engineering, Small Animals and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hao Guo has authored 107 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 20 papers in Small Animals and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hao Guo's work include Animal Behavior and Welfare Studies (20 papers), Advancements in Battery Materials (16 papers) and Advanced Battery Materials and Technologies (14 papers). Hao Guo is often cited by papers focused on Animal Behavior and Welfare Studies (20 papers), Advancements in Battery Materials (16 papers) and Advanced Battery Materials and Technologies (14 papers). Hao Guo collaborates with scholars based in China, Italy and Russia. Hao Guo's co-authors include Dehai Zhu, Wei Su, Andrea Pezzuolo, Francesco Marinello, Qin Ma, Dongfeng Chen, Kai Sun, Alexey Ruchay, Xiaobai Ma and Jianxi Huang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Guo

97 papers receiving 1.9k 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.

Fast-charge high-voltage layered cathodes for sodium-ion batteries

2024 146 citations Qidi Wang, Dong Zhou et al. Nature Sustainability profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hao Guo China	26	731	345	299	236	222	107	2.0k
Kai Liu China	22	659 0.9×	353 1.0×	279 0.9×	223 0.9×	268 1.2×	151	2.2k
Gang Sun China	30	265 0.4×	71 0.2×	56 0.2×	35 0.1×	119 0.5×	203	3.5k
Bruce Grieve United Kingdom	20	490 0.7×	93 0.3×	49 0.2×	340 1.4×	25 0.1×	62	1.4k
Richard S. Gates United States	31	84 0.1×	717 2.1×	1.8k 6.0×	641 2.7×	296 1.3×	364	4.4k
Tim Wark Australia	26	727 1.0×	236 0.7×	133 0.4×	291 1.2×	9 0.0×	69	2.4k
N.S. Ferguson United Kingdom	27	44 0.1×	124 0.4×	442 1.5×	74 0.3×	107 0.5×	165	2.3k
J.A. Marchant United Kingdom	24	127 0.2×	152 0.4×	138 0.5×	812 3.4×	23 0.1×	92	1.6k
Lyndon Smith United Kingdom	26	109 0.1×	232 0.7×	148 0.5×	256 1.1×	39 0.2×	115	2.1k

Countries citing papers authored by Hao Guo

Since Specialization

Citations

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

Fields of papers citing papers by Hao Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Guo. A scholar is included among the top collaborators of Hao Guo 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 Hao Guo. Hao Guo 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

Wang, Xubin, Wenfeng Yang, Yang Yang, et al.. (2025). A Multi‐Element Composition Modulation Strategy for Designing High‐Capacity and Stable O3‐Type Na‐Layered Oxide. Advanced Materials. 37(41). e09032–e09032. 4 indexed citations

Li, Qifeng, Weihong Ma, Daniel Morris, et al.. (2025). A multi-posture adaptive method for measuring goat bodies dimensions using 3D point clouds in real-world applications. Biosystems Engineering. 257. 104214–104214.

Yang, Lei, Hao Guo, James W. Tam, et al.. (2025). Knowledge‐based trade‐off prediction for NSCLC treatment planning using multi‐output regression. Medical Physics. 52(9). e18068–e18068. 1 indexed citations

Wang, Qidi, Dong Zhou, Chenglong Zhao, et al.. (2024). Fast-charge high-voltage layered cathodes for sodium-ion batteries. Nature Sustainability. 7(3). 338–347. 146 indexed citations breakdown →

Ruchay, Alexey, Vladimir Kolpakov, Hao Guo, & Andrea Pezzuolo. (2024). On-barn cattle facial recognition using deep transfer learning and data augmentation. Computers and Electronics in Agriculture. 225. 109306–109306. 12 indexed citations

Zhao, Liuxian, et al.. (2024). Resonant-type Luneburg lens for broadband low-frequency focusing. Europhysics Letters (EPL). 145(4). 40001–40001. 1 indexed citations

Ruchay, Alexey, et al.. (2023). On-Barn Forecasting Beef Cattle Production Based on Automated Non-Contact Body Measurement System. Animals. 13(4). 611–611. 5 indexed citations

Guo, Hao, et al.. (2023). Automated measurement of livestock body based on pose normalisation using statistical shape model. Biosystems Engineering. 227. 36–51. 18 indexed citations

Liu, Gang, Hao Guo, Alexey Ruchay, & Andrea Pezzuolo. (2023). Recent Advancements in Precision Livestock Farming. Agriculture. 13(9). 1652–1652. 6 indexed citations

10.

Huang, Jianxi, Hai Huang, Xuecao Li, et al.. (2022). Grassland Aboveground Biomass Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model. Remote Sensing. 14(13). 3194–3194. 10 indexed citations

11.

Ruchay, Alexey, Vladimir Kolpakov, Dianna Kosyan, et al.. (2022). Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras. Animals. 12(16). 2128–2128. 14 indexed citations

12.

Xi, Xiaohuan, et al.. (2022). Power Pylon Reconstruction from Airborne LiDAR Data Based on Component Segmentation and Model Matching. Remote Sensing. 14(19). 4905–4905. 5 indexed citations

13.

Guo, Hao, et al.. (2022). Curve Skeleton Extraction from Incomplete Point Clouds of Livestock and Its Application in Posture Evaluation. Agriculture. 12(7). 998–998. 4 indexed citations

14.

Ruchay, Alexey, et al.. (2022). Live Weight Prediction of Cattle Based on Deep Regression of RGB-D Images. Agriculture. 12(11). 1794–1794. 29 indexed citations

15.

Ruchay, Alexey, et al.. (2022). A Comparative Study of Machine Learning Methods for Predicting Live Weight of Duroc, Landrace, and Yorkshire Pigs. Animals. 12(9). 1152–1152. 13 indexed citations

16.

Ruchay, Alexey, et al.. (2021). Live weight prediction of cattle using deep image regression. 32–36. 3 indexed citations

17.

Lü, Jie, et al.. (2021). 2-D/3-D fusion-based robust pose normalisation of 3-D livestock from multiple RGB-D cameras. Biosystems Engineering. 223. 129–141. 19 indexed citations

18.

Wu, Pute, et al.. (2016). Design and experiment of autonomous navigation system for solar powered linear move sprinkler machine based on GPS.. Nongye gongcheng xuebao. 32(16). 89–94. 4 indexed citations

19.

Guo, Hao, et al.. (2014). Modeling the Propagation of Mobile Phone Virus under Complex Network. The Scientific World JOURNAL. 2014. 1–14. 3 indexed citations

20.

Guo, Hao, et al.. (2014). Prototype system of shape measurements of animal based on 3D reconstruction.. Transactions of the Chinese Society of Agricultural Machinery. 45(5). 227–246. 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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