Junhua Yan

410 total citations · 1 hit paper
10 papers, 282 citations indexed

About

Junhua Yan is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Junhua Yan has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Water Science and Technology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Building and Construction. Recurrent topics in Junhua Yan's work include Adsorption and biosorption for pollutant removal (4 papers), Extraction and Separation Processes (2 papers) and Recycling and utilization of industrial and municipal waste in materials production (2 papers). Junhua Yan is often cited by papers focused on Adsorption and biosorption for pollutant removal (4 papers), Extraction and Separation Processes (2 papers) and Recycling and utilization of industrial and municipal waste in materials production (2 papers). Junhua Yan collaborates with scholars based in China, United Kingdom and Poland. Junhua Yan's co-authors include Kashif Shaheed, Piotr Szczuko, Abdul Wahid, Imran Qureshi, Qaisar Abbas, Guihong Lan, Yongqiang Liu, Haiyan Qiu, Chao Chen and Jihong Zhang and has published in prestigious journals such as Expert Systems with Applications, RSC Advances and Information Fusion.

In The Last Decade

Junhua Yan

10 papers receiving 274 citations

Hit Papers

Medical image segmentation using deep semantic-based meth... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhua Yan China 6 98 69 63 56 43 10 282
Kai He China 9 91 0.9× 153 2.2× 13 0.2× 44 0.8× 77 1.8× 43 450
Danni Chen China 11 76 0.8× 16 0.2× 17 0.3× 48 0.9× 36 0.8× 23 388
Nguyễn Thành Trung Vietnam 9 36 0.4× 18 0.3× 30 0.5× 14 0.3× 60 1.4× 56 273
Shuangsheng Zhang China 8 18 0.2× 24 0.3× 22 0.3× 25 0.4× 98 2.3× 22 271
Siqi Li China 11 65 0.7× 22 0.3× 7 0.1× 28 0.5× 25 0.6× 26 408
Yuanwei Li China 11 44 0.4× 13 0.2× 31 0.5× 37 0.7× 52 1.2× 24 289
Lijie Zhao China 10 17 0.2× 11 0.2× 40 0.6× 31 0.6× 15 0.3× 17 293
Jintao Guo China 8 35 0.4× 9 0.1× 6 0.1× 47 0.8× 15 0.3× 21 163
Kang Dang China 7 58 0.6× 15 0.2× 37 0.6× 27 0.5× 12 0.3× 21 140

Countries citing papers authored by Junhua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Junhua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhua Yan

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

All Works

10 of 10 papers shown
1.
Yan, Junhua, et al.. (2023). SCFNet: Semantic correction and focus network for remote sensing image object detection. Expert Systems with Applications. 224. 119980–119980. 8 indexed citations
2.
Yan, Junhua, et al.. (2023). Detection of Dim Small Ground Targets in SAR Remote Sensing Image based on Multi-level Feature Fusion. Journal of Imaging Science and Technology. 67(1). 10505–1. 2 indexed citations
3.
Qureshi, Imran, Junhua Yan, Qaisar Abbas, et al.. (2022). Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends. Information Fusion. 90. 316–352. 171 indexed citations breakdown →
4.
Yan, Junhua, et al.. (2022). Non-uniformity Correction Method of Remote Sensing Images based on Adaptive Moving Window Moment Matching. Journal of Imaging Science and Technology. 66(5). 50502–1. 3 indexed citations
5.
Yan, Junhua, et al.. (2022). Design of a compact off-axis freeform three-mirror system in a circular configuration. Applied Optics. 61(24). 7078–7078. 3 indexed citations
6.
Zhang, Yingting, Guihong Lan, Yongqiang Liu, et al.. (2020). Enhanced adsorption of Cr (VI) from aqueous solution by zirconium impregnated chitosan microspheres: mechanism and equilibrium. Separation Science and Technology. 56(15). 2532–2545. 12 indexed citations
7.
Lan, Guihong, Yingting Zhang, Yongqiang Liu, et al.. (2019). Modified peach stones by ethylenediamine as a new adsorbent for removal of Cr (VI) from wastewater. Separation Science and Technology. 54(13). 2126–2137. 8 indexed citations
8.
Yan, Junhua, Guihong Lan, Haiyan Qiu, et al.. (2018). Adsorption of heavy metals and methylene blue from aqueous solution with citric acid modified peach stone. Separation Science and Technology. 53(11). 1678–1688. 48 indexed citations
9.
Yan, Junhua, et al.. (2016). FLUXNET2015 CN-Din Dinghushan. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
10.
Qiu, Haiyan, Junhua Yan, Guihong Lan, et al.. (2016). Removal of Cu2+ from wastewater by modified xanthan gum (XG) with ethylenediamine (EDA). RSC Advances. 6(86). 83226–83233. 24 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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