Zilong Zhong

3.8k total citations · 3 hit papers
18 papers, 2.6k citations indexed

About

Zilong Zhong is a scholar working on Media Technology, Environmental Engineering and Ecology. According to data from OpenAlex, Zilong Zhong has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Media Technology, 8 papers in Environmental Engineering and 5 papers in Ecology. Recurrent topics in Zilong Zhong's work include Remote-Sensing Image Classification (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Remote Sensing in Agriculture (5 papers). Zilong Zhong is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Remote Sensing in Agriculture (5 papers). Zilong Zhong collaborates with scholars based in Canada, China and South Korea. Zilong Zhong's co-authors include Jonathan Li, Michael A. Chapman, Zhiming Luo, Lingfei Ma, Ying Li, Dongpu Cao, Han Jiang, Fei Liu, Weihong Cui and Wei‐Shi Zheng and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Construction and Building Materials.

In The Last Decade

Zilong Zhong

18 papers receiving 2.6k 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.

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

2017 1.5k citations Zilong Zhong, Jonathan Li et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

2020 377 citations Ying Li, Lingfei Ma et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework

2021 168 citations Zilong Zhong, Ying Li et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zilong Zhong Canada	11	1.8k	1.2k	736	409	245	18	2.6k
Alexandre Boulch France	20	726 0.4×	361 0.3×	660 0.9×	702 1.7×	219 0.9×	46	2.1k
Jian Kang China	22	946 0.5×	392 0.3×	736 1.0×	302 0.7×	228 0.9×	91	2.1k
Nicolas Audebert France	7	528 0.3×	256 0.2×	419 0.6×	408 1.0×	115 0.5×	18	1.3k
Shuhui Bu China	27	885 0.5×	191 0.2×	1.6k 2.1×	185 0.5×	203 0.8×	90	2.6k
Cem Ünsalan Türkiye	20	933 0.5×	361 0.3×	578 0.8×	504 1.2×	86 0.4×	86	1.6k
Renlong Hang China	27	2.1k 1.2×	1.2k 1.0×	973 1.3×	258 0.6×	351 1.4×	71	3.0k
Wenhui Diao China	29	1.6k 0.9×	279 0.2×	2.0k 2.7×	333 0.8×	556 2.3×	134	3.1k
Shuang Wang China	31	1.1k 0.6×	411 0.4×	1.5k 2.1×	203 0.5×	478 2.0×	196	3.1k
Konstantinos Makantasis Greece	15	686 0.4×	436 0.4×	425 0.6×	91 0.2×	171 0.7×	50	1.4k

Countries citing papers authored by Zilong Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Zilong Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zilong Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Zilong Zhong. A scholar is included among the top collaborators of Zilong Zhong 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 Zilong Zhong. Zilong Zhong 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:

18 of 18 papers shown

Su, Jun, et al.. (2025). Dynamic tensile properties of geopolymer aggregates engineered cementitious composites (GPA-ECC) with varying GPA replacement ratios. Construction and Building Materials. 478. 141443–141443. 1 indexed citations

Su, Jun, et al.. (2024). Effects of low temperatures and steel fibres on the flexural properties of carbonised recycled aggregate concrete. Construction and Building Materials. 449. 138347–138347. 7 indexed citations

Wan, Liang, et al.. (2024). Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects. Remote Sensing of Environment. 304. 114048–114048. 27 indexed citations

Ryu, Youngryel, et al.. (2023). Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 201–221. 5 indexed citations

Ryu, Youngryel, et al.. (2023). In-Season Wall-to-Wall Crop-Type Mapping Using Ensemble of Image Segmentation Models. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 3 indexed citations

Kong, Juwon, Youngryel Ryu, Zilong Zhong, et al.. (2023). Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring. ISPRS Journal of Photogrammetry and Remote Sensing. 200. 1–23. 25 indexed citations

Zhong, Zilong, Ying Li, Lingfei Ma, Jonathan Li, & Wei‐Shi Zheng. (2021). Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 168 indexed citations breakdown →

Li, Ying, Lingfei Ma, Zilong Zhong, et al.. (2020). Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3412–3432. 377 indexed citations breakdown →

Li, Ying, Lingfei Ma, Zilong Zhong, et al.. (2020). Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. arXiv (Cornell University). 11 indexed citations

10.

Li, Ying, Lingfei Ma, Zilong Zhong, Dongpu Cao, & Jonathan Li. (2019). TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3588–3600. 106 indexed citations

11.

Ma, Lingfei, Ying Li, Jonathan Li, Zilong Zhong, & Michael A. Chapman. (2019). Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(5). 1572–1586. 48 indexed citations

12.

Zhong, Zilong, Jonathan Li, David A. Clausi, & Alexander Wong. (2019). Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. IEEE Transactions on Cybernetics. 50(7). 3318–3329. 133 indexed citations

13.

Zhong, Zilong & Jonathan Li. (2018). Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 10 indexed citations

14.

Zhong, Zilong, Jonathan Li, Lingfei Ma, Han Jiang, & He Zhao. (2017). Deep residual networks for hyperspectral image classification. 1824–1827. 99 indexed citations

15.

Zhong, Zilong, Jonathan Li, Zhiming Luo, & Michael A. Chapman. (2017). Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework. IEEE Transactions on Geoscience and Remote Sensing. 56(2). 847–858. 1451 indexed citations breakdown →

16.

Zhong, Zilong & Jonathan Li. (2017). Hyperspectral image classification using deep convolutional neural networks. 3(1). 2 indexed citations

17.

Zhong, Zilong, Jonathan Li, Weihong Cui, & Han Jiang. (2016). Fully convolutional networks for building and road extraction: Preliminary results. 1591–1594. 144 indexed citations

18.

Jiang, Han, et al.. (2016). Determining the effect of spatial resolution in land use classification using optical aerial imagery. 2272–2275. 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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