Houqiao Wang

404 total citations
11 papers, 239 citations indexed

About

Houqiao Wang is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Houqiao Wang has authored 11 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Houqiao Wang's work include Smart Agriculture and AI (5 papers), Tea Polyphenols and Effects (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Houqiao Wang is often cited by papers focused on Smart Agriculture and AI (5 papers), Tea Polyphenols and Effects (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Houqiao Wang collaborates with scholars based in China, United States and France. Houqiao Wang's co-authors include D. Stott Parker, Chang-Shing Perng, Baijuan Wang, Fernando Martı́n, Wenxia Yuan, William C. Stwalley, Amanda Ross, M. Aubert-Frécon, Isabelle Russier‐Antoine and Yaping Chen and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Scientific Reports.

In The Last Decade

Houqiao Wang

9 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Houqiao Wang China 6 149 77 33 28 24 11 239
Nader Shakibay Senobari United States 7 205 1.4× 196 2.5× 59 1.8× 34 1.2× 36 1.5× 14 296
W. Fan China 6 64 0.4× 51 0.7× 6 0.2× 20 0.7× 79 3.3× 32 187
Christel Vrain France 6 35 0.2× 64 0.8× 9 0.3× 24 0.9× 14 0.6× 18 126
Luke M. Davis United Kingdom 3 256 1.7× 192 2.5× 88 2.7× 31 1.1× 8 0.3× 3 315
Deepak Khemani India 7 21 0.1× 128 1.7× 7 0.2× 59 2.1× 9 0.4× 34 193
Sushanta Biswas India 10 13 0.1× 86 1.1× 6 0.2× 130 4.6× 9 0.4× 31 300
Kristian Kersting Germany 10 17 0.1× 205 2.7× 5 0.2× 31 1.1× 13 0.5× 26 298
Mathieu Blondel Japan 11 12 0.1× 98 1.3× 7 0.2× 62 2.2× 5 0.2× 23 284
Timm Jansen Germany 5 86 0.6× 212 2.8× 6 0.2× 32 1.1× 40 1.7× 6 241
Huamin Feng China 9 45 0.3× 62 0.8× 2 0.1× 189 6.8× 13 0.5× 28 265

Countries citing papers authored by Houqiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Houqiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houqiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Houqiao Wang. A scholar is included among the top collaborators of Houqiao Wang 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 Houqiao Wang. Houqiao Wang 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.
Chen, Lijiao, et al.. (2025). Slope Position Modulates Soil Chemical Properties and Microbial Dynamics in Tea Plantation Ecosystems. Agronomy. 15(3). 538–538. 2 indexed citations
3.
Chen, Yaping, Yuxing Xia, Houqiao Wang, et al.. (2024). Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep learning. Food Control. 168. 110890–110890. 11 indexed citations
4.
Wang, Zejun, et al.. (2024). Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning. Horticulturae. 10(12). 1347–1347.
5.
Wang, Houqiao, Xinghua Wang, Chun Wang, et al.. (2024). LCLN-CA: A Survival Regression Analysis-Based Prediction Method for Catechin Content in Yunnan Sun-Dried Tea. Horticulturae. 10(12). 1321–1321. 1 indexed citations
6.
Wang, Zejun, et al.. (2024). Microscopic Insect Pest Detection in Tea Plantations: Improved YOLOv8 Model Based on Deep Learning. Agriculture. 14(10). 1739–1739. 6 indexed citations
7.
Wu, Yamin, Houqiao Wang, Junjie He, et al.. (2024). Prediction Model of Flavonoids Content in Ancient Tree Sun−Dried Green Tea under Abiotic Stress Based on LASSO−Cox. Agriculture. 14(2). 296–296. 1 indexed citations
8.
9.
Yuan, Wenxia, Shihao Zhang, Qiaomei Wang, et al.. (2024). Classification and identification of tea diseases based on improved YOLOv7 model of MobileNeXt. Scientific Reports. 14(1). 11799–11799. 7 indexed citations
10.
Wang, Houqiao, William C. Stwalley, Amanda Ross, et al.. (2003). Photoassociation of ultracold K atoms: Observation of high lying levels of the 1g∼1 1Πg molecular state of K2. The Journal of Chemical Physics. 118(17). 7837–7845. 13 indexed citations
11.
Perng, Chang-Shing, et al.. (2002). Landmarks: a new model for similarity-based pattern querying in time series databases. 33–42. 187 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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