Zheng Ding

491 total citations
24 papers, 283 citations indexed

About

Zheng Ding is a scholar working on Health, Toxicology and Mutagenesis, Sociology and Political Science and Global and Planetary Change. According to data from OpenAlex, Zheng Ding has authored 24 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 6 papers in Sociology and Political Science and 5 papers in Global and Planetary Change. Recurrent topics in Zheng Ding's work include Urban Green Space and Health (8 papers), Land Use and Ecosystem Services (5 papers) and Diverse Aspects of Tourism Research (4 papers). Zheng Ding is often cited by papers focused on Urban Green Space and Health (8 papers), Land Use and Ecosystem Services (5 papers) and Diverse Aspects of Tourism Research (4 papers). Zheng Ding collaborates with scholars based in China, United States and Australia. Zheng Ding's co-authors include Xinyi Lei, Weizhen Xu, Jiao Yu, Yue Wu, Zhuowen Tu, Zhengyan Chen, Zhihao Xia, Xiuming Zhang, Xinyue Zhou and Dan Song and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Sustainability.

In The Last Decade

Zheng Ding

17 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zheng Ding China	9	126	71	45	45	34	24	283
Andrea Galli Italy	10	86 0.7×	73 1.0×	19 0.4×	24 0.5×	5 0.1×	28	248
Pengfei Tang China	11	89 0.7×	85 1.2×	22 0.5×	22 0.5×	6 0.2×	34	340
Martin Hämmerle Germany	12	77 0.6×	103 1.5×	54 1.2×	79 1.8×	26 0.8×	27	481
Fei Teng China	12	105 0.8×	30 0.4×	32 0.7×	41 0.9×	10 0.3×	16	321
Yuhan Huang China	12	219 1.7×	40 0.6×	15 0.3×	19 0.4×	12 0.4×	20	410
Eduardo Dias Netherlands	11	84 0.7×	15 0.2×	24 0.5×	46 1.0×	35 1.0×	32	396
Renfei Yang China	8	214 1.7×	31 0.4×	44 1.0×	143 3.2×	30 0.9×	17	481
Yanxia Wang China	9	119 0.9×	25 0.4×	50 1.1×	8 0.2×	12 0.4×	34	414
Haoran Hou China	9	175 1.4×	38 0.5×	64 1.4×	105 2.3×	17 0.5×	13	425
Jūratė Sužiedelytė Visockienė Lithuania	10	102 0.8×	32 0.5×	28 0.6×	29 0.6×	7 0.2×	53	348

Countries citing papers authored by Zheng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Zheng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Ding

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Shiyi, et al.. (2025). Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning. Frontiers in Psychology. 16. 1572426–1572426. 2 indexed citations

Chen, Zhengyan, et al.. (2025). How does high temperature weather affect tourists’ nature landscape perception and emotions? A machine learning analysis of Wuyishan City, China. PLoS ONE. 20(5). e0323566–e0323566.

Chen, Zhengyan, et al.. (2025). Decoding Multi-Scale Environmental Configurations for Older Adults’ Walkability with Explainable Machine Learning. Sustainability. 17(18). 8499–8499.

Lin, Shuo, et al.. (2025). Prediction and Optimization of the Restoration Quality of University Outdoor Spaces: A Data-Driven Study Using Image Semantic Segmentation and Explainable Machine Learning. Buildings. 15(16). 2936–2936.

Cheng, Yuxuan, et al.. (2025). Perception of Child-Friendly Streets and Spatial Planning Responses in High-Density Cities Amidst Supply–Demand Disparities. Buildings. 15(21). 3908–3908.

Chen, Zhengyan, et al.. (2024). How does the perception of informal green spaces in urban villages influence residents’ complaint Sentiments? a Machine learning analysis of Fuzhou City, China. Ecological Indicators. 166. 112376–112376. 13 indexed citations

Zhou, Xinyue, et al.. (2024). Application Research of Ultrasonic-Guided Wave Technology in Pipeline Corrosion Defect Detection: A Review. Coatings. 14(3). 358–358. 21 indexed citations

Wang, Zirui, et al.. (2024). TokenCompose: Text-to-Image Diffusion with Token-Level Supervision. 8553–8564. 3 indexed citations

Ding, Zheng, et al.. (2024). Restoration by Generation with Constrained Priors. 2567–2577. 4 indexed citations

10.

Chen, Zhengyan, et al.. (2024). Exploring the association between the built environment and positive sentiments of tourists in traditional villages in Fuzhou, China. Ecological Informatics. 80. 102465–102465. 17 indexed citations

11.

Zhou, Xinyue, Zheng Ding, Sijie Zhang, et al.. (2024). Research on the Macro-Cell Corrosion Behavior of Alloyed Corrosion-Resistant Steel for a Transmission Line Steel Structure under a Chloride Corrosion Environment. Metals. 14(8). 879–879.

12.

Xu, Weizhen, et al.. (2024). Ecological network construction for bird communities in high-density urban areas: A perspective of integrated approaches. Ecological Indicators. 158. 111592–111592. 26 indexed citations

13.

Chen, Zhengyan, et al.. (2024). Exploring the impact of seasonal forest landscapes on tourist emotions using Machine learning. Ecological Indicators. 163. 112115–112115. 5 indexed citations

14.

Xu, Weizhen, et al.. (2023). Exploring the impact of changing landscape patterns on ecological quality in different cities: A comparative study among three megacities in eastern and western China. Ecological Informatics. 77. 102255–102255. 38 indexed citations

15.

Ding, Zheng. (2023). Optimizing economic management paths on consumer conformity psychology from a psychological perspective. CNS Spectrums. 28(S2). S129–S129. 1 indexed citations

16.

Li, Xufang, et al.. (2023). Study on Multidimensional Perception of National Forest Village Landscape Based on Digital Footprint Support—Anhui Xidi Village as an Example. Forests. 14(12). 2345–2345. 11 indexed citations

17.

Li, Hongze, et al.. (2023). Application of Large-scale Point Cloud using Distance-based Monitoring for Live-line Work on 220kV Transmission Lines. 378–383.

18.

Xu, Xin, et al.. (2023). MasQCLIP for Open-Vocabulary Universal Image Segmentation. 887–898. 10 indexed citations

19.

Xu, Xu, et al.. (2004). Distribution characteristics of historical earthquake classes in Jiangsu Province and South Huanghai Sea region. Acta Seismologica Sinica. 17(4). 480–489. 2 indexed citations

20.

Fuller, Steve, Zheng Ding, & Anoop Sattineni. (2002). A Case Study: Using the Wearable Computer in the Construction Industry. Proceedings of the ... ISARC. 5 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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