Ya Hu

736 total citations
30 papers, 578 citations indexed

About

Ya Hu is a scholar working on Control and Systems Engineering, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Ya Hu has authored 30 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Global and Planetary Change and 7 papers in Ocean Engineering. Recurrent topics in Ya Hu's work include Simulation and Modeling Applications (8 papers), Flood Risk Assessment and Management (7 papers) and Evacuation and Crowd Dynamics (7 papers). Ya Hu is often cited by papers focused on Simulation and Modeling Applications (8 papers), Flood Risk Assessment and Management (7 papers) and Evacuation and Crowd Dynamics (7 papers). Ya Hu collaborates with scholars based in China, Hong Kong and Germany. Ya Hu's co-authors include Jun Zhu, Weilian Li, Yakun Xie, Lin Fu, Qing Zhu, Bingli Xu, Yunhao Zhang, Jianlin Wu, Yungang Cao and Hui Lin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Information Sciences and Environmental Modelling & Software.

In The Last Decade

Ya Hu

29 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya Hu China	15	154	131	125	97	73	30	578
Mir Abolfazl Mostafavi Canada	15	129 0.8×	98 0.7×	87 0.7×	100 1.0×	102 1.4×	79	767
Yulin Ding China	12	96 0.6×	56 0.4×	59 0.5×	96 1.0×	43 0.6×	48	471
Bingli Xu China	10	76 0.5×	136 1.0×	85 0.7×	85 0.9×	76 1.0×	21	444
Mingyuan Hu Hong Kong	13	159 1.0×	186 1.4×	94 0.8×	198 2.0×	201 2.8×	31	781
Milan Konečný Czechia	14	159 1.0×	209 1.6×	49 0.4×	36 0.4×	73 1.0×	67	567
Piero Boccardo Italy	16	185 1.2×	65 0.5×	92 0.7×	99 1.0×	47 0.6×	108	857
Tapani Sarjakoski Finland	15	105 0.7×	198 1.5×	55 0.4×	38 0.4×	55 0.8×	57	649
Yakun Xie China	18	123 0.8×	73 0.6×	306 2.4×	199 2.1×	32 0.4×	48	863
Emmanuel Stefanakis Canada	13	113 0.7×	204 1.6×	76 0.6×	57 0.6×	83 1.1×	71	648
Xiongfeng Yan China	13	152 1.0×	216 1.6×	154 1.2×	246 2.5×	79 1.1×	37	661

Countries citing papers authored by Ya Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ya Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Hu. A scholar is included among the top collaborators of Ya Hu 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 Ya Hu. Ya Hu 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

Hu, Ya, Jingyi Lu, Jun Zhu, et al.. (2025). Data-knowledge hybrid driven intelligent prediction method of tunnel excavation profiles geometric deformation. International Journal of Digital Earth. 18(1). 2 indexed citations

Xie, Yakun, et al.. (2024). Landslide extraction from aerial imagery considering context association characteristics. International Journal of Applied Earth Observation and Geoinformation. 131. 103950–103950. 33 indexed citations

Lai, Jianbo, et al.. (2024). A multi-factor-driven approach for predicting surface settlement caused by the construction of subway tunnels by undercutting method. Environmental Earth Sciences. 83(15). 2 indexed citations

Lai, Jianbo, et al.. (2024). Feature-constrained automatic geometric deformation analysis method of bridge models toward digital twin. International Journal of Digital Earth. 17(1). 3 indexed citations

Zhu, Jun, Pei Dang, Jinbin Zhang, et al.. (2023). The impact of spatial scale on layout learning and individual evacuation behavior in indoor fires: single-scale learning perspectives. International Journal of Geographical Information Systems. 38(1). 77–99. 33 indexed citations

Lai, Jianbo, Jun Zhu, Yukun Guo, et al.. (2023). Dynamic data‐driven railway bridge construction knowledge graph update method. Transactions in GIS. 27(7). 2099–2117. 8 indexed citations

Li, Weilian, Jun Zhu, Saied Pirasteh, et al.. (2022). Investigations of disaster information representation from a geospatial perspective: Progress, challenges and recommendations. Transactions in GIS. 26(3). 1376–1398. 33 indexed citations

Fu, Lin, Jun Zhu, Weilian Li, et al.. (2021). Tunnel vision optimization method for VR flood scenes based on Gaussian blur. International Journal of Digital Earth. 14(7). 821–835. 22 indexed citations

Li, Weilian, Jun Zhu, Lin Fu, et al.. (2020). An augmented representation method of debris flow scenes to improve public perception. International Journal of Geographical Information Systems. 35(8). 1521–1544. 125 indexed citations

10.

Zhang, Yunhao, Jun Zhu, Weilian Li, et al.. (2019). Adaptive Construction of the Virtual Debris Flow Disaster Environments Driven by Multilevel Visualization Task. ISPRS International Journal of Geo-Information. 8(5). 209–209. 11 indexed citations

11.

Li, Weilian, Jun Zhu, Yunhao Zhang, et al.. (2019). A Fusion Visualization Method for Disaster Information Based on Self-Explanatory Symbols and Photorealistic Scene Cooperation. ISPRS International Journal of Geo-Information. 8(3). 104–104. 28 indexed citations

12.

Zhang, Yunhao, et al.. (2018). Adaptive Web 3D Visualization for Diverse Terminals. 32. 1–7. 1 indexed citations

13.

Zhang, Heng, et al.. (2017). A template-based knowledge reuse method for generating multitype 3D railway scenes. International Journal of Digital Earth. 11(2). 179–194. 7 indexed citations

14.

Chen, Min, et al.. (2015). A procedural modelling method for virtual high-speed railway scenes based on model combination and spatial semantic constraint. International Journal of Geographical Information Systems. 29(6). 1059–1080. 13 indexed citations

15.

Zhu, Jun, et al.. (2014). Dam-Break Flood Routing Simulation and Scale Effect Analysis Based on Virtual Geographic Environment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(1). 105–113. 27 indexed citations

16.

Lin, Hui, et al.. (2013). Integration of a computational grid and virtual geographic environment to facilitate air pollution simulation. Computers & Geosciences. 54. 184–195. 14 indexed citations

17.

Li, Yi, Jianhua Gong, Jun Zhu, et al.. (2013). Spatiotemporal simulation and risk analysis of dam-break flooding based on cellular automata. International Journal of Geographical Information Systems. 27(10). 2043–2059. 38 indexed citations

18.

Zhu, Jun, Ya Hu, Jianhua Gong, & Yi Li. (2012). Collaborative virtual geographic environment system for risk assessment of barrier lakes. 34. 1–5. 3 indexed citations

19.

Zhu, Jun, Yi Li, & Ya Hu. (2012). A Virtual Geographic Environment for Simulation Analysis of Dam-Break Flood Routing. Advanced materials research. 463-464. 926–931. 5 indexed citations

20.

Xu, Bingli, et al.. (2011). Collaborative virtual geographic environments: A case study of air pollution simulation. Information Sciences. 181(11). 2231–2246. 40 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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