Haojie Wang

3.0k total citations · 4 hit papers
69 papers, 2.3k citations indexed

About

Haojie Wang is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Haojie Wang has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management, Monitoring, Policy and Law, 17 papers in Civil and Structural Engineering and 13 papers in Global and Planetary Change. Recurrent topics in Haojie Wang's work include Landslides and related hazards (28 papers), Flood Risk Assessment and Management (9 papers) and Geotechnical Engineering and Analysis (9 papers). Haojie Wang is often cited by papers focused on Landslides and related hazards (28 papers), Flood Risk Assessment and Management (9 papers) and Geotechnical Engineering and Analysis (9 papers). Haojie Wang collaborates with scholars based in China, Hong Kong and United States. Haojie Wang's co-authors include Limin Zhang, Hongyu Luo, Qingyan Chen, Fida Hussain, Liming You, Kun Zhou, Wei Yang, Sheng Guo, Jian He and K.S. Yin and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Water Research.

In The Last Decade

Haojie Wang

64 papers receiving 2.2k citations

Hit Papers

Scalable synthesis of Ca-... 2019 2026 2021 2023 2019 2020 2021 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haojie Wang China 23 797 405 352 342 337 69 2.3k
Wei Shao China 25 445 0.6× 358 0.9× 665 1.9× 21 0.1× 216 0.6× 118 2.1k
Jiangang Chen China 22 707 0.9× 343 0.8× 516 1.5× 26 0.1× 232 0.7× 133 2.2k
Shimei Wang China 31 277 0.3× 132 0.3× 239 0.7× 51 0.1× 335 1.0× 138 3.3k
Wenjie Zhang China 26 89 0.1× 228 0.6× 540 1.5× 106 0.3× 175 0.5× 141 2.4k
Jintao Liu China 30 158 0.2× 683 1.7× 243 0.7× 57 0.2× 834 2.5× 159 3.0k
Xianwei Zhang China 32 412 0.5× 211 0.5× 1.8k 5.1× 31 0.1× 100 0.3× 248 3.6k
Shumin Liu China 31 159 0.2× 94 0.2× 214 0.6× 84 0.2× 45 0.1× 114 3.1k
Roslan Hashim Malaysia 30 127 0.2× 324 0.8× 1.2k 3.5× 49 0.1× 213 0.6× 108 3.0k
Siyi Zhang China 21 124 0.2× 431 1.1× 116 0.3× 72 0.2× 302 0.9× 80 2.5k
Wei Zhu China 37 68 0.1× 113 0.3× 1.0k 3.0× 194 0.6× 592 1.8× 264 4.7k

Countries citing papers authored by Haojie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haojie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haojie Wang. A scholar is included among the top collaborators of Haojie 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 Haojie Wang. Haojie Wang 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.
Guo, Zizheng, Haojie Wang, Jun He, et al.. (2025). PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment. Environmental Modelling & Software. 186. 106367–106367. 17 indexed citations breakdown →
2.
Xu, Zhao‐Dong, et al.. (2025). Responses of ice–soil mixtures to ice melting. Canadian Geotechnical Journal. 62. 1–14. 3 indexed citations
3.
Wang, Haojie & Yuanyuan Xie. (2025). Advances in Ferroptosis Research: A Comprehensive Review of Mechanism Exploration, Drug Development, and Disease Treatment. Pharmaceuticals. 18(3). 334–334. 7 indexed citations
4.
Xu, Wenlong, Junyang Yue, Yi Zhang, et al.. (2025). Juglone alleviates pelvic pain and prostatic inflammation via inhibiting the activation of NLRP3 inflammasome and alleviating oxidative stress in EAP mice. Phytomedicine. 142. 156732–156732. 2 indexed citations
6.
Sun, Ping, et al.. (2024). Insight into failure mechanisms of rainfall induced mudstone landslide controlled by structural planes: From laboratory experiments. Engineering Geology. 343. 107774–107774. 6 indexed citations
8.
Wang, Haojie, et al.. (2024). Identification and molecular mechanism of the anti-inflammatory effect of sea cucumber peptides: Network pharmacology, molecular docking and animal experiments. International Journal of Biological Macromolecules. 279(Pt 2). 134958–134958. 4 indexed citations
9.
He, Jian, Limin Zhang, Te Xiao, Haojie Wang, & Hongyu Luo. (2023). Prompt Quantitative Risk Assessment for Rain-Induced Landslides. Journal of Geotechnical and Geoenvironmental Engineering. 149(5). 13 indexed citations
10.
Liao, Jian, et al.. (2023). Projected Effects of Climate Change on Species Range of Pantala flavescens, a Wandering Glider Dragonfly. Biology. 12(2). 226–226. 8 indexed citations
11.
He, Jian, Limin Zhang, Te Xiao, Haojie Wang, & Hongyu Luo. (2023). Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms. Water Research. 239. 120057–120057. 50 indexed citations
12.
Xiao, Te, et al.. (2022). Predicting landslide runout paths using terrain matching-targeted machine learning. Engineering Geology. 311. 106902–106902. 24 indexed citations
13.
Wang, Haojie, et al.. (2022). Machine learning powered high-resolution co-seismic landslide detection. Gondwana Research. 123. 217–237. 13 indexed citations
14.
Wang, Haojie & Limin Zhang. (2020). DTM-based landslide detection using deep learning: A case study in Hong Kong. 1 indexed citations
15.
Luo, Hongyu, Limin Zhang, Haojie Wang, & Jian He. (2020). Multi-hazard vulnerability of buildings to debris flows. Engineering Geology. 279. 105859–105859. 25 indexed citations
16.
Zhang, Shouke, Huai‐Jun Xue, Wei Zhang, et al.. (2020). The Gut Microbiota in Camellia Weevils Are Influenced by Plant Secondary Metabolites and Contribute to Saponin Degradation. mSystems. 5(2). 68 indexed citations
17.
Guo, Sheng, Haojie Wang, Wei Yang, et al.. (2019). Scalable synthesis of Ca-doped α-Fe2O3 with abundant oxygen vacancies for enhanced degradation of organic pollutants through peroxymonosulfate activation. Applied Catalysis B: Environmental. 262. 118250–118250. 431 indexed citations breakdown →
18.
Zhang, Shouke, Huai‐Jun Xue, Wei Zhang, et al.. (2018). Genetic diversity in the camellia weevil, Curculio chinensis Chevrolat (Coleptera: Curculionidae) and inferences for the impact of host plant and human activity. Entomological Science. 21(4). 447–460. 11 indexed citations
19.
Wang, Yunjie, Yun Huang, Yazhou Xu, et al.. (2017). A Dual AMPK/Nrf2 Activator Reduces Brain Inflammation After Stroke by Enhancing Microglia M2 Polarization. Antioxidants and Redox Signaling. 28(2). 141–163. 175 indexed citations
20.
Li, Cai, et al.. (2016). Characterization of a phenanthrene-degrading microbial consortium enriched from petrochemical contaminated environment. International Biodeterioration & Biodegradation. 115. 286–292. 68 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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