Liying Chang

826 total citations · 2 hit papers
43 papers, 553 citations indexed

About

Liying Chang is a scholar working on Plant Science, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Liying Chang has authored 43 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 7 papers in Molecular Biology and 6 papers in Analytical Chemistry. Recurrent topics in Liying Chang's work include Leaf Properties and Growth Measurement (12 papers), Greenhouse Technology and Climate Control (10 papers) and Plant Stress Responses and Tolerance (9 papers). Liying Chang is often cited by papers focused on Leaf Properties and Growth Measurement (12 papers), Greenhouse Technology and Climate Control (10 papers) and Plant Stress Responses and Tolerance (9 papers). Liying Chang collaborates with scholars based in China, South Korea and Germany. Liying Chang's co-authors include Danfeng Huang, Qingliang Niu, Pengli Li, Zhang Jing-jin, Iftikhar Hussain Shah, Yidong Zhang, Muhammad Aamir Manzoor, Muhammad Khalid Hameed, Doudou Guo and Asad Rehman and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Liying Chang

38 papers receiving 547 citations

Hit Papers

Comprehensive review: Effects of climate change and green... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liying Chang China 15 360 71 61 54 47 43 553
Qingliang Niu China 14 346 1.0× 92 1.3× 130 2.1× 29 0.5× 24 0.5× 36 559
Xiaomei Liu China 17 306 0.8× 137 1.9× 28 0.5× 64 1.2× 37 0.8× 46 780
Enrique Rico-García Mexico 16 493 1.4× 101 1.4× 68 1.1× 63 1.2× 45 1.0× 47 767
José Luis García‐Hernández Mexico 14 459 1.3× 57 0.8× 33 0.5× 39 0.7× 24 0.5× 73 738
Huan Du China 15 231 0.6× 117 1.6× 27 0.4× 70 1.3× 43 0.9× 39 561
Wenfeng Li China 13 349 1.0× 39 0.5× 34 0.6× 29 0.5× 33 0.7× 70 539
Mukhtar Iderawumi Abdulraheem China 10 163 0.5× 59 0.8× 44 0.7× 27 0.5× 14 0.3× 46 409
Magdi A. A. Mousa Saudi Arabia 17 539 1.5× 110 1.5× 22 0.4× 144 2.7× 85 1.8× 59 796
Hadi Pirasteh‐Anosheh Iran 14 418 1.2× 52 0.7× 41 0.7× 23 0.4× 20 0.4× 51 580

Countries citing papers authored by Liying Chang

Since Specialization
Citations

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

Fields of papers citing papers by Liying Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liying Chang

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

All Works

20 of 20 papers shown
1.
Zhao, Bin, Liying Chang, & Zhenyu Liu. (2025). Fast-YOLO Network Model for X-Ray Image Detection of Pneumonia. Electronics. 14(5). 903–903. 3 indexed citations
2.
Shah, Iftikhar Hussain, Xiaotao Ding, Pengli Li, et al.. (2025). A non‐destructive approach: Estimation of melon Fruit quality attributes and nutrients using hyperspectral imaging coupled with machine learning. Smart Agricultural Technology. 10. 100811–100811. 4 indexed citations
3.
Zhao, Bin, Liying Chang, Chengdong Wu, & Zhenyu Liu. (2025). Robot multi-target high performance grasping detection based on random sub-path fusion. Scientific Reports. 15(1). 8709–8709.
4.
Chen, Miao, et al.. (2025). Effects of Different Cultivation Facilities and Planting Densities on Tomato Seedling Production. HortScience. 60(7). 1065–1074. 1 indexed citations
5.
Dun, Ying, et al.. (2025). Label-free plasmonic biosensors for neurodegenerative disease diagnosis: Progress and perspectives. TrAC Trends in Analytical Chemistry. 194. 118488–118488.
8.
Shah, Iftikhar Hussain, Muhammad Aamir Manzoor, Xuyang Li, et al.. (2024). Comprehensive review: Effects of climate change and greenhouse gases emission relevance to environmental stress on horticultural crops and management. Journal of Environmental Management. 351. 119978–119978. 61 indexed citations breakdown →
9.
Li, Pengli, Asad Rehman, Jing Yu, et al.. (2024). Characterization and stress-responsive regulation of CmPHT1 genes involved in phosphate uptake and transport in Melon (Cucumis melo L.). BMC Plant Biology. 24(1). 696–696. 3 indexed citations
10.
Shah, Iftikhar Hussain, Xuyang Li, Muhammad Khalid Hameed, et al.. (2024). Exploring the role of nitrogen and potassium in photosynthesis implications for sugar: Accumulation and translocation in horticultural crops. Scientia Horticulturae. 327. 112832–112832. 44 indexed citations breakdown →
11.
Shah, Iftikhar Hussain, Muhammad Aamir Manzoor, Irfan Ali Sabir, et al.. (2023). Phytotoxic effects of chemically synthesized copper oxide nanoparticles induce physiological, biochemical, and ultrastructural changes in Cucumis melo. Environmental Science and Pollution Research. 30(18). 51595–51606. 18 indexed citations
12.
Yu, Jing, et al.. (2023). Integrated Analysis of the Transcriptome and Metabolome of Brassica rapa Revealed Regulatory Mechanism under Heat Stress. International Journal of Molecular Sciences. 24(18). 13993–13993. 9 indexed citations
13.
Chang, Liying, Xin Xiong, Muhammad Khalid Hameed, Danfeng Huang, & Qingliang Niu. (2023). Study on nitrogen demand model in pakchoi (Brassica campestris ssp. Chinensis L.) based on nitrogen contents and phenotypic characteristics. Frontiers in Plant Science. 14. 1111216–1111216.
15.
Rehman, Asad, Pengli Li, Iftikhar Hussain Shah, et al.. (2023). Green synthesized zinc oxide nanoparticles confer drought tolerance in melon (Cucumis melo L.). Environmental and Experimental Botany. 212. 105384–105384. 25 indexed citations
16.
Shah, Iftikhar Hussain, Muhammad Aamir Manzoor, Irfan Ali Sabir, et al.. (2022). A green and environmental sustainable approach to synthesis the Mn oxide nanomaterial from Punica granatum leaf extracts and its in vitro biological applications. Environmental Monitoring and Assessment. 194(12). 921–921. 7 indexed citations
17.
Liu, Qian, et al.. (2019). Non-destructive monitoring of netted muskmelon quality based on its external phenotype using Random Forest. PLoS ONE. 14(8). e0221259–e0221259. 7 indexed citations
18.
Guo, Doudou, J.A. de Juan, Liying Chang, Zhang Jing-jin, & Danfeng Huang. (2017). Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques. Scientific Reports. 7(1). 8303–8303. 31 indexed citations
19.
Zhu, Yan, et al.. (2010). Modeling leaf color dynamic in rice plant based on spad value. World Automation Congress. 173–183. 1 indexed citations
20.
Chang, Liying, et al.. (2010). Temperature-driven growth shape simulation and model of greenhouse melon leaves. Mathematical and Computer Modelling. 54(3-4). 1175–1180. 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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