Yuanmiao Gui

854 total citations
8 papers, 675 citations indexed

About

Yuanmiao Gui is a scholar working on Molecular Biology, Ecology and Water Science and Technology. According to data from OpenAlex, Yuanmiao Gui has authored 8 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Water Science and Technology. Recurrent topics in Yuanmiao Gui's work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Yuanmiao Gui is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Yuanmiao Gui collaborates with scholars based in China. Yuanmiao Gui's co-authors include Feng Ling, Bingyu Sun, Hailei Wang, Zhiqiang Du, Dongbo Zhou, Wenbo Li, Xiaoming Zhang, Wenbo Li, Liqiao Tian and Weidong Tian and has published in prestigious journals such as Remote Sensing, Mathematical Biosciences and Remote Sensing Letters.

In The Last Decade

Yuanmiao Gui

8 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanmiao Gui China	6	498	236	207	207	126	8	675
Sharifeh Hazini Malaysia	6	439 0.9×	200 0.8×	239 1.2×	174 0.8×	138 1.1×	11	682
Komeil Rokni Malaysia	6	459 0.9×	204 0.9×	258 1.2×	174 0.8×	146 1.2×	13	720
Fangdi Sun China	9	449 0.9×	190 0.8×	171 0.8×	251 1.2×	167 1.3×	15	632
A Mcintyre Australia	5	369 0.7×	161 0.7×	223 1.1×	191 0.9×	70 0.6×	6	535
Kel Markert United States	14	384 0.8×	162 0.7×	133 0.6×	187 0.9×	147 1.2×	36	564
Alex Ip Australia	4	347 0.7×	146 0.6×	196 0.9×	183 0.9×	62 0.5×	9	506
Thomas Heege Germany	18	241 0.5×	128 0.5×	326 1.6×	251 1.2×	74 0.6×	55	963
Ziyan Ling China	15	588 1.2×	146 0.6×	246 1.2×	151 0.7×	91 0.7×	39	795
Gülcan Sarp Türkiye	10	209 0.4×	157 0.7×	100 0.5×	68 0.3×	68 0.5×	27	465
Hui‐Chung Yeh Taiwan	10	250 0.5×	168 0.7×	167 0.8×	183 0.9×	149 1.2×	23	528

Countries citing papers authored by Yuanmiao Gui

Since Specialization

Citations

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

Fields of papers citing papers by Yuanmiao Gui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanmiao Gui

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

All Works

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8 of 8 papers shown

1.

Gui, Yuanmiao & Xue Wang. (2022). Application of K-nearest neighbors in protein-protein interaction prediction. Highlights in Science Engineering and Technology. 2. 125–131. 1 indexed citations

2.

Liu, Haibo, et al.. (2021). Update the power project knowledge graph of power project using Neo4j Graph Database. 332–337. 1 indexed citations

3.

Gui, Yuanmiao, et al.. (2020). Using Deep Neural Networks to Improve the Performance of Protein–Protein Interactions Prediction. International Journal of Pattern Recognition and Artificial Intelligence. 34(13). 2052012–2052012. 5 indexed citations

4.

Wang, Xue, Rujing Wang, Yuanyuan Wei, & Yuanmiao Gui. (2019). A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence. Mathematical Biosciences. 313. 41–47. 11 indexed citations

5.

Gui, Yuanmiao, et al.. (2019). DNN-PPI: A LARGE-SCALE PREDICTION OF PROTEIN–PROTEIN INTERACTIONS BASED ON DEEP NEURAL NETWORKS. Journal of Biological Systems. 27(1). 1–18. 12 indexed citations

6.

Du, Zhiqiang, Wenbo Li, Dongbo Zhou, et al.. (2014). Analysis of Landsat-8 OLI imagery for land surface water mapping. Remote Sensing Letters. 5(7). 672–681. 176 indexed citations

7.

Li, Wenbo, Zhiqiang Du, Feng Ling, et al.. (2013). A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI. Remote Sensing. 5(11). 5530–5549. 347 indexed citations

8.

Du, Zhiqiang, Feng Ling, Wenbo Li, et al.. (2012). Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China. Journal of Applied Remote Sensing. 6(1). 63609–63609. 122 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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