Yanyun Han

505 total citations
26 papers, 348 citations indexed

About

Yanyun Han is a scholar working on Plant Science, Genetics and Information Systems. According to data from OpenAlex, Yanyun Han has authored 26 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Genetics and 4 papers in Information Systems. Recurrent topics in Yanyun Han's work include Smart Agriculture and AI (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Yanyun Han is often cited by papers focused on Smart Agriculture and AI (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Yanyun Han collaborates with scholars based in China and United States. Yanyun Han's co-authors include Kaiyi Wang, Shouhui Pan, Zhibin Wang, Zhongqiang Liu, Chunjiang Zhao, Qi Zhang, Shufeng Wang, Dongfeng Zhang, Li Wang and Qi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Plant Science.

In The Last Decade

Yanyun Han

24 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanyun Han China	13	198	58	43	41	37	26	348
Shouhui Pan China	11	188 0.9×	57 1.0×	39 0.9×	42 1.0×	20 0.5×	29	332
Oskar Marko Serbia	13	119 0.6×	61 1.1×	27 0.6×	15 0.4×	28 0.8×	25	375
Jingdun Jia China	12	308 1.6×	95 1.6×	46 1.1×	126 3.1×	16 0.4×	41	580
Seong Heo South Korea	6	284 1.4×	59 1.0×	16 0.4×	17 0.4×	22 0.6×	27	460
Sambuddha Ghosal United States	6	438 2.2×	193 3.3×	47 1.1×	117 2.9×	18 0.5×	11	645
Md. Mehedi Hasan Bangladesh	10	195 1.0×	89 1.5×	27 0.6×	78 1.9×	7 0.2×	53	417
Saeed Khaki United States	6	296 1.5×	181 3.1×	21 0.5×	81 2.0×	7 0.2×	8	396
Anh Tuan Le South Korea	4	228 1.2×	57 1.0×	11 0.3×	18 0.4×	21 0.6×	17	376
Adair da Silva Oliveira Brazil	8	173 0.9×	58 1.0×	33 0.8×	41 1.0×	6 0.2×	12	373
Rutuja Rajendra Patil India	9	241 1.2×	29 0.5×	10 0.2×	93 2.3×	35 0.9×	24	348

Countries citing papers authored by Yanyun Han

Since Specialization

Citations

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

Fields of papers citing papers by Yanyun Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanyun Han

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

Zhang, Dongfeng, Feng Yang, Jinlong Li, et al.. (2025). Progress and perspectives on genomic selection models for crop breeding. SHILAP Revista de lepidopterología. 5(1). 0–0. 1 indexed citations

Li, Jinlong, Yanyun Han, Dongfeng Zhang, et al.. (2025). Prediction of hybrid maize adaptation in China using extensive climatic-phenotypic data and machine learning. The Crop Journal. 13(5). 1534–1542.

Bai, Leichao, Kaiyi Wang, Qi Zhang, et al.. (2025). A Study of Maize Genotype–Environment Interaction Based on Deep K-Means Clustering Neural Network. Agriculture. 15(4). 358–358.

Zhang, Dongfeng, Yanyun Han, Zhongqiang Liu, et al.. (2025). Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding. Agriculture. 15(11). 1171–1171. 2 indexed citations

Pan, Shouhui, Zhongqiang Liu, Yanyun Han, et al.. (2024). Using the Pearson’s correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient?. Frontiers in Plant Science. 15. 1480463–1480463. 6 indexed citations

Wang, Kaiyi, Yanyun Han, Yuqing Zhang, et al.. (2024). Maize yield prediction with trait-missing data via bipartite graph neural network. Frontiers in Plant Science. 15. 1433552–1433552. 1 indexed citations

Li, Jinlong, Dongfeng Zhang, Feng Yang, et al.. (2024). TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield. Plant Communications. 5(7). 100975–100975. 22 indexed citations

Liu, Zhongqiang, Yuxi Wang, Xiaofeng Wang, et al.. (2023). A variety test platform for the standardization and data quality improvement of crop variety tests. Frontiers in Plant Science. 14. 3 indexed citations

Han, Yanyun, et al.. (2023). Developing a comprehensive evaluation model of variety adaptability based on machine learning method. Field Crops Research. 306. 109203–109203. 7 indexed citations

10.

Zhang, Dongfeng, Yuqing Zhang, Yong Zhang, et al.. (2023). Prediction of corn variety yield with attribute-missing data via graph neural network. Computers and Electronics in Agriculture. 211. 108046–108046. 26 indexed citations

11.

Zou, Yidong, Shouhui Pan, Dongfeng Zhang, et al.. (2023). Precise Recommendation Method of Suitable Planting Areas of Maize Varieties Based on Knowledge Graph. Agriculture. 13(3). 526–526. 4 indexed citations

12.

Han, Yanyun, et al.. (2023). Maize yield prediction using federated random forest. Computers and Electronics in Agriculture. 210. 107930–107930. 25 indexed citations

13.

Zhang, Qi, Kaiyi Wang, Yanyun Han, et al.. (2022). A crop variety yield prediction system based on variety yield data compensation. Computers and Electronics in Agriculture. 203. 107460–107460. 15 indexed citations

14.

Pan, Shouhui, et al.. (2022). Intelligent upgrading of plant breeding: Decision support tools in the golden seed breeding cloud platform. Computers and Electronics in Agriculture. 194. 106672–106672. 12 indexed citations

15.

Han, Yanyun, et al.. (2020). Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis. Sustainability. 12(12). 4938–4938. 12 indexed citations

16.

Han, Yanyun, et al.. (2020). Plant Breeding Evaluation Based on Coupled Feature Representation. IEEE Access. 8. 153641–153650. 1 indexed citations

17.

Wang, Zhibin, Kaiyi Wang, Shouhui Pan, & Yanyun Han. (2018). Segmentation of Crop Disease Images with an Improved K-means Clustering Algorithm. Applied Engineering in Agriculture. 34(2). 277–289. 28 indexed citations

18.

Wang, Kaiyi, et al.. (2018). A Cloud-Based Digital Farm Management System for Vegetable Production Process Management and Quality Traceability. Sustainability. 10(11). 4007–4007. 22 indexed citations

19.

Han, Yanyun, et al.. (2018). Golden seed breeding cloud platform for the management of crop breeding material and genealogical tracking. Computers and Electronics in Agriculture. 152. 206–214. 12 indexed citations

20.

Pan, Shouhui, Kaiyi Wang, Li Wang, Zhibin Wang, & Yanyun Han. (2017). Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China. Sustainability. 9(10). 1846–1846. 18 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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