Ao Wang

717 total citations · 1 hit paper
16 papers, 366 citations indexed

About

Ao Wang is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Ao Wang has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Ecology. Recurrent topics in Ao Wang's work include Remote Sensing and LiDAR Applications (4 papers), Remote Sensing in Agriculture (3 papers) and Geophysics and Sensor Technology (2 papers). Ao Wang is often cited by papers focused on Remote Sensing and LiDAR Applications (4 papers), Remote Sensing in Agriculture (3 papers) and Geophysics and Sensor Technology (2 papers). Ao Wang collaborates with scholars based in China, Germany and Malawi. Ao Wang's co-authors include Hui Chen, Zijia Lin, Guiguang Ding, Jungong Han, Shuo Shi, Lin Du, Chao Shen, Wei Gong, Feng Cheng and Limin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and Urban forestry & urban greening.

In The Last Decade

Ao Wang

15 papers receiving 359 citations

Hit Papers

align trajectories

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.

Rep ViT: Revisiting Mobile CNN From ViT Perspective

2024 201 citations Ao Wang, Hui Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ao Wang China	6	107	61	61	57	41	16	366
Li Ren China	12	63 0.6×	94 1.5×	96 1.6×	39 0.7×	33 0.8×	33	467
Wei-Hao Wu China	5	143 1.3×	29 0.5×	20 0.3×	43 0.8×	41 1.0×	11	336
Yifei Liu China	2	82 0.8×	36 0.6×	19 0.3×	44 0.8×	25 0.6×	7	244
Xinming Lu China	11	39 0.4×	48 0.8×	72 1.2×	18 0.3×	14 0.3×	39	326
Degang Wang China	8	231 2.2×	34 0.6×	27 0.4×	46 0.8×	19 0.5×	18	700
Heidar Rastiveis Iran	11	64 0.6×	58 1.0×	25 0.4×	204 3.6×	31 0.8×	34	364
Pu Wang China	12	35 0.3×	170 2.8×	232 3.8×	40 0.7×	15 0.4×	61	574
Hong Tang China	13	119 1.1×	78 1.3×	10 0.2×	118 2.1×	38 0.9×	44	402
Gülşen Taşkın Türkiye	13	90 0.8×	22 0.4×	15 0.2×	102 1.8×	40 1.0×	62	598

Countries citing papers authored by Ao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ao Wang

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

All Works

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16 of 16 papers shown

Wang, Ao, Hui Chen, Zijia Lin, et al.. (2025). CAIT: Triple-Win C ompression Toward High A ccuracy, Fast I nference, and Favorable T ransferability for ViTs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1373–1389. 1 indexed citations

Wang, Ao, et al.. (2025). Integration of LiDAR and Hyperspectral Imagery for Tree Species Identification at the Individual Tree Level. The Photogrammetric Record. 40(190). 1 indexed citations

Wang, Ao, Shuo Shi, Jian Yang, et al.. (2024). Potential of hyperspectral LiDAR in individual tree segmentation: A comparative study with multispectral LiDAR. Urban forestry & urban greening. 104. 128658–128658. 3 indexed citations

Shi, Shuo, et al.. (2024). Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 1020–1038. 4 indexed citations

Wang, Ao, Hui Chen, Zijia Lin, Jungong Han, & Guiguang Ding. (2024). Rep ViT: Revisiting Mobile CNN From ViT Perspective. 15909–15920. 201 indexed citations breakdown →

Wang, Ao, et al.. (2024). An Improved Method for Individual Tree Segmentation in Complex Urban Scenes Based on Using Multispectral LiDAR by Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6561–6576. 29 indexed citations

Hao, Qi, Ming Wu, Ao Wang, et al.. (2024). Automatic CT pulmonary artery-vein segmentation using 3D RSU and semantic embedding. 62–62.

Wang, Ao, et al.. (2023). Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. 5594–5604. 2 indexed citations

Wang, Ao, et al.. (2023). Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 855–870. 5 indexed citations

10.

Yang, Jian, Shalei Song, Shuo Shi, et al.. (2022). Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR. Remote Sensing. 14(1). 238–238. 40 indexed citations

11.

Wang, Ao, et al.. (2021). Seafloor classification based on deep-sea multibeam data—Application to the Southwest Indian Ridge at 50.47°E. Journal of Applied Geophysics. 185. 104259–104259. 3 indexed citations

12.

Wu, Tao, Chunhui Tao, Jinhui Zhang, et al.. (2019). A hydrothermal investigation system for the Qianlong-II autonomous underwater vehicle. Acta Oceanologica Sinica. 38(3). 159–165. 20 indexed citations

13.

Shen, Chao, Yixian Xu, Yudi Pan, Ao Wang, & Lingli Gao. (2016). Sensitivities of phase-velocity dispersion curves of surface waves due to high-velocity-layer and low-velocity-layer models. Journal of Applied Geophysics. 135. 367–374. 26 indexed citations

14.

Shen, Chao, Ao Wang, Limin Wang, Zongbo Xu, & Feng Cheng. (2015). Resolution equivalence of dispersion-imaging methods for noise-free high-frequency surface-wave data. Journal of Applied Geophysics. 122. 167–171. 28 indexed citations

15.

Zhang, Dongmei, Wei Liu, Ao Wang, & Hui Jin. (2010). Parameter Optimization for SVR Based on Genetic Algorithm and Simplex Method. 1–6. 2 indexed citations

16.

Wang, Ao. (2009). Prediction of Land Subsidence of Soft Soil in Foshan City with GMS. Safety and Environmental Engineering. 1 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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