Geng Xu

1.3k total citations · 1 hit paper
17 papers, 859 citations indexed

About

Geng Xu is a scholar working on Transportation, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Geng Xu has authored 17 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 5 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Geng Xu's work include Traffic Prediction and Management Techniques (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Digital Holography and Microscopy (3 papers). Geng Xu is often cited by papers focused on Traffic Prediction and Management Techniques (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Digital Holography and Microscopy (3 papers). Geng Xu collaborates with scholars based in China, Hong Kong and Singapore. Geng Xu's co-authors include Leye Wang, Qiang Yang, Lingyu Zhang, Yaguang Li, Yan Liu, Jieping Ye, Xiaojuan Ma, Feng Liu, Jie-Yao Lyu and Qi‐Long Yan and has published in prestigious journals such as Carbon, Optics Express and Fuel.

In The Last Decade

Geng Xu

15 papers receiving 839 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

2019 601 citations Geng Xu, Yaguang Li et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Geng Xu	566	492	139	119	98	17	859
Qi Shi	351 0.6×	160 0.3×	172 1.2×	98 0.8×	29 0.3×	31	815
Xiaotian Sun	563 1.0×	471 1.0×	639 4.6×	51 0.4×	30 0.3×	35	896
Jiandong Zhao	344 0.6×	295 0.6×	227 1.6×	62 0.5×	40 0.4×	87	797
Hongsuk Yi	209 0.4×	135 0.3×	92 0.7×	96 0.8×	56 0.6×	25	603
Zhihao Xu	185 0.3×	167 0.3×	110 0.8×	78 0.7×	22 0.2×	66	616
Wei Nai	248 0.4×	197 0.4×	204 1.5×	88 0.7×	30 0.3×	123	632
Sangho Kim	85 0.2×	191 0.4×	115 0.8×	14 0.1×	34 0.3×	38	687
Kranti Kumar	420 0.7×	293 0.6×	305 2.2×	61 0.5×	43 0.4×	54	768
Qiang Wu	156 0.3×	92 0.2×	147 1.1×	86 0.7×	16 0.2×	46	470

Countries citing papers authored by Geng Xu

Since Specialization

Citations

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

Fields of papers citing papers by Geng Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Xu

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

All Works

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17 of 17 papers shown

Xu, Geng, et al.. (2025). A coarse-to-fine attention-guided autofocusing for holography under high noisy scenes with explainable neural network. Optics and Lasers in Engineering. 190. 108945–108945. 1 indexed citations

Liu, Lu, Geng Xu, Yao Shu, et al.. (2025). Advancing 3D understanding of aluminum agglomerates in propellant environment using reconstruction techniques. Combustion and Flame. 281. 114448–114448.

Liu, Xia, et al.. (2025). A novel colorimetric detection based on bifunctionalized gold nanoparticle combined with machine learning and deep learning models to identify microbial transglutaminase in foods. Talanta. 296. 128533–128533.

Xu, Geng, et al.. (2024). Object detection, auto-focusing and transfer learning for digital holography of solid composite propellant using efficient neural network. Optics and Lasers in Engineering. 181. 108401–108401. 4 indexed citations

Lyu, Jie-Yao, et al.. (2023). Thermal decomposition and combustion behavior of the core-shell Al@AP composite embedded with CuO as a catalyst. Fuel. 356. 129587–129587. 38 indexed citations

Xu, Geng, et al.. (2023). Field recovery from digital inline holographic images of composite propellant combustion base on denoising diffusion model. Optics Express. 31(23). 38216–38216. 3 indexed citations

Zhang, Lingyu, Geng Xu, Zhiwei Qin, et al.. (2022). Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. Sustainability. 14(19). 12397–12397. 12 indexed citations

Wang, Zhixin, et al.. (2020). Three-dimensional spatial distributions of agglomerated particles on and near the burning surface of aluminized solid propellant using morphological digital in-line holography. Aerospace Science and Technology. 106. 106066–106066. 29 indexed citations

Wang, Leye, Geng Xu, Xiaojuan Ma, Daqing Zhang, & Qiang Yang. (2019). Ridesharing car detection by transfer learning. Artificial Intelligence. 273. 1–18. 27 indexed citations

10.

Wang, Leye, Geng Xu, Xiaojuan Ma, Feng Liu, & Qiang Yang. (2019). Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1893–1899. 105 indexed citations

11.

Xu, Geng, Lingyu Zhang, Shulin Li, et al.. (2019). CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction. 1 indexed citations

12.

Xu, Geng, Yaguang Li, Leye Wang, et al.. (2019). Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3656–3663. 601 indexed citations breakdown →

13.

Chen, Huaxiang, Tingting You, Geng Xu, et al.. (2018). Humidity-responsive nanocomposite of gold nanoparticles and polyacrylamide brushes grafted on Ag film: synthesis and application as plasmonic nanosensor. Science China Materials. 61(9). 1201–1208. 8 indexed citations

14.

Li, Yang, Geng Xu, Hao Zhang, et al.. (2015). Alcohol-assisted rapid growth of vertically aligned carbon nanotube arrays. Carbon. 91. 45–55. 14 indexed citations

15.

Men, Chuanling, et al.. (2013). In-Situ Fabrication of Expanded Graphite-Carbon Nanotube Nanocomposite with Enhanced Thermal Conductivity. Journal of Materials Science Research. 3(1). 2 indexed citations

16.

Zhang, Hao, et al.. (2013). Adhesion performance of gecko-inspired flexible carbon nanotubes dry adhesive. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8686. 86860S–86860S. 6 indexed citations

17.

Lloyd, Isabel K., Y. Carmel, Otto C. Wilson, & Geng Xu. (2006). Microwave Processing of Ceramics. Advances in science and technology. 45. 857–862. 8 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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