Rui Zhu

3.1k total citations · 3 hit papers
58 papers, 1.9k citations indexed

About

Rui Zhu is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Rui Zhu has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Geography, Planning and Development and 13 papers in Signal Processing. Recurrent topics in Rui Zhu's work include Geographic Information Systems Studies (14 papers), Data Management and Algorithms (11 papers) and Semantic Web and Ontologies (9 papers). Rui Zhu is often cited by papers focused on Geographic Information Systems Studies (14 papers), Data Management and Algorithms (11 papers) and Semantic Web and Ontologies (9 papers). Rui Zhu collaborates with scholars based in United States, China and United Kingdom. Rui Zhu's co-authors include Amna Kirmani, Joan Meyers‐Levy, Gengchen Mai, Krzysztof Janowicz, Ling Cai, Bo Yan, Ravi Mehta, Amar Cheema, Jennifer Argo and Ni Lao and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Expert Systems with Applications.

In The Last Decade

Rui Zhu

55 papers receiving 1.7k citations

Hit Papers

Traffic transformer: Capturing the continuity and periodi... 2020 2026 2022 2024 2020 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Zhu United States 20 490 378 282 250 245 58 1.9k
Daniele Quercia United Kingdom 30 356 0.7× 971 2.6× 213 0.8× 673 2.7× 163 0.7× 144 3.5k
Mark Newman United States 30 80 0.2× 558 1.5× 212 0.8× 232 0.9× 149 0.6× 157 3.4k
Jan Blom Finland 20 117 0.2× 528 1.4× 120 0.4× 194 0.8× 54 0.2× 38 2.0k
Andrew Vande Moere Belgium 27 64 0.1× 500 1.3× 186 0.7× 197 0.8× 74 0.3× 143 2.8k
Bruno Lepri Italy 35 67 0.1× 752 2.0× 465 1.6× 848 3.4× 383 1.6× 149 4.0k
Sven Casteleyn Spain 19 108 0.2× 287 0.8× 36 0.1× 193 0.8× 87 0.4× 84 1.6k
Luigina Ciolfi United Kingdom 24 149 0.3× 881 2.3× 205 0.7× 176 0.7× 27 0.1× 79 2.5k
Henriette Cramer United States 19 79 0.2× 384 1.0× 330 1.2× 497 2.0× 44 0.2× 78 1.6k
John Williams United Kingdom 25 466 1.0× 1.0k 2.7× 499 1.8× 393 1.6× 83 0.3× 73 3.5k
Huy Quan Vu Australia 22 432 0.9× 1.2k 3.3× 133 0.5× 290 1.2× 27 0.1× 53 1.8k

Countries citing papers authored by Rui Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Rui Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Zhu. A scholar is included among the top collaborators of Rui Zhu 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 Rui Zhu. Rui Zhu 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.
Janowicz, Krzysztof, Gengchen Mai, Weiming Huang, et al.. (2025). GeoFM: how will geo-foundation models reshape spatial data science and GeoAI?. International Journal of Geographical Information Systems. 39(9). 1849–1865. 2 indexed citations
2.
Cai, Saihua, et al.. (2024). MIT-FRNet: Modality-invariant temporal representation learning-based feature reconstruction network for missing modalities. Expert Systems with Applications. 249. 123655–123655. 5 indexed citations
3.
Kuang, H. H., et al.. (2024). Unraveling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China. Sustainable Cities and Society. 115. 105836–105836. 14 indexed citations
4.
Mai, Gengchen, Weiming Huang, Suhang Song, et al.. (2024). On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Transactions on Spatial Algorithms and Systems. 10(2). 1–46. 45 indexed citations breakdown →
5.
Wang, Siqin, Tao Hu, Xiao Huang, et al.. (2024). GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review. International Journal of Digital Earth. 17(1). 38 indexed citations
6.
Li, Wenwen, Sizhe Wang, Xiaohong Chen, et al.. (2023). GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid. ISPRS International Journal of Geo-Information. 12(3). 112–112. 19 indexed citations
7.
Chen, Zengqiang, et al.. (2022). Modeling and optimization control of networked evolutionary games with heterogeneous memories and switched topologies. Knowledge-Based Systems. 252. 109378–109378. 9 indexed citations
8.
Cai, Ling, Krzysztof Janowicz, Rui Zhu, et al.. (2022). HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. GeoInformatica. 27(2). 159–197. 8 indexed citations
9.
Mai, Gengchen, Chiyu Jiang, Weiwei Sun, et al.. (2022). Towards general-purpose representation learning of polygonal geometries. GeoInformatica. 27(2). 289–340. 27 indexed citations
10.
Zhu, Rui, Krzysztof Janowicz, Ling Cai, & Gengchen Mai. (2022). Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks. International Journal of Geographical Information Systems. 36(11). 2194–2225. 15 indexed citations
11.
Janowicz, Krzysztof, Cogan Shimizu, Pascal Hitzler, et al.. (2021). Diverse data! Diverse schemata?. Semantic Web. 1–3. 2 indexed citations
12.
Mai, Gengchen, Krzysztof Janowicz, Bo Yan, et al.. (2020). Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. arXiv (Cornell University). 8 indexed citations
13.
Li, Zhanglin, et al.. (2019). Integrating data-to-data correlation into inverse distance weighting. Computational Geosciences. 24(1). 203–216. 23 indexed citations
14.
Zhu, Rui, Krzysztof Janowicz, & Gengchen Mai. (2019). Making direction a first‐class citizen of Tobler's first law of geography. Transactions in GIS. 23(3). 398–416. 14 indexed citations
15.
Zhu, Rui, Krzysztof Janowicz, Bo Yan, & Yingjie Hu. (2016). Which Kobani? A Case Study on the Role of Spatial Statistics and Semantics for Coreference Resolution Across Gazetteers. 1. 3 indexed citations
16.
Mehta, Ravi, Rui Zhu, & Joan Meyers‐Levy. (2014). When Does a Higher Construal Level Increase or Decrease Indulgence? Resolving the Myopia versus Hyperopia Puzzle. Journal of Consumer Research. 41(2). 475–488. 26 indexed citations
17.
Meyers‐Levy, Joan, Rui Zhu, & Lan Jiang. (2009). Context Effects from Bodily Sensations: Examining Bodily Sensations Induced by Flooring and the Moderating Role of Product Viewing Distance. Journal of Consumer Research. 37(1). 1–14. 49 indexed citations
18.
Monga, Ashwani & Rui Zhu. (2005). Buyers versus Sellers: How They Differ in Their Responses to Framed Outcomes. SSRN Electronic Journal.
19.
Zhu, Rui. (2005). Myth and Philosophy: From a Problem in Phaedo. Journal of the American Academy of Religion. 73(2). 453–473. 2 indexed citations
20.
Zhu, Rui. (2004). Distinguishing the Public from the Private: Aristotle's Solution to Plato's Paradox. History of Political Thought. 25(2). 231–242. 3 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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