Long Gao

1.5k total citations
60 papers, 1.1k citations indexed

About

Long Gao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Long Gao has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Aerospace Engineering. Recurrent topics in Long Gao's work include Video Surveillance and Tracking Methods (12 papers), Infrared Target Detection Methodologies (12 papers) and Remote-Sensing Image Classification (9 papers). Long Gao is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Infrared Target Detection Methodologies (12 papers) and Remote-Sensing Image Classification (9 papers). Long Gao collaborates with scholars based in China, United States and United Kingdom. Long Gao's co-authors include Jiang Chang, Min Xing, Yanling Zhou, Jinliang Peng, Q. N. Xu, Shuguang Cui, Endian Wang, Xiaoya Wang, Yan Han and Xu Chen and has published in prestigious journals such as Remote Sensing of Environment, ACS Applied Materials & Interfaces and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Long Gao

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Gao China	17	363	281	221	197	116	60	1.1k
Xiaomeng Gao China	20	753 2.1×	204 0.7×	266 1.2×	36 0.2×	130 1.1×	77	1.5k
Liang Liang United States	26	885 2.4×	70 0.2×	245 1.1×	155 0.8×	249 2.1×	92	2.2k
Yufan Liu China	18	400 1.1×	99 0.4×	67 0.3×	33 0.2×	197 1.7×	57	1.1k
Jianyu Chen China	22	577 1.6×	93 0.3×	164 0.7×	39 0.2×	129 1.1×	107	1.8k
Cong Ma United States	16	308 0.8×	289 1.0×	109 0.5×	21 0.1×	72 0.6×	61	1.2k
Xiaohong Wang China	20	915 2.5×	275 1.0×	255 1.2×	30 0.2×	104 0.9×	76	1.6k
Zehao Chen China	13	229 0.6×	151 0.5×	78 0.4×	32 0.2×	128 1.1×	83	927
Shihua Wang China	20	157 0.4×	90 0.3×	139 0.6×	121 0.6×	57 0.5×	87	2.2k
Che-Yu Lin Taiwan	17	266 0.7×	58 0.2×	133 0.6×	23 0.1×	223 1.9×	79	957
Chun‐Hsien Wu Taiwan	20	77 0.2×	199 0.7×	166 0.8×	34 0.2×	155 1.3×	100	1.4k

Countries citing papers authored by Long Gao

Since Specialization

Citations

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

Fields of papers citing papers by Long Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Gao

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

He, Gang, et al.. (2025). Hyperspectral Object Tracking With Spectral Information Prompt. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12636–12651.

Gao, Long, et al.. (2025). Feature-Level Fusion Network for Hyperspectral Object Tracking via Mixed Multi-Head Self-Attention Learning. Remote Sensing. 17(6). 997–997.

Gu, Xiang, et al.. (2025). A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology. Sensors. 25(23). 7360–7360.

Gao, Long, Ke Yang, Yang Zhang, et al.. (2025). RGB-D visual object tracking with transformer-based multi-modal feature fusion. Knowledge-Based Systems. 322. 113531–113531. 1 indexed citations

Sun, Baoyin, et al.. (2025). A practical multi-scale simulation framework for high-cycle fatigue analysis of wind turbines. Ocean Engineering. 335. 121699–121699.

Gao, Long, Yunhe Zhang, Jiang Yan, et al.. (2025). Domain adapter for visual object tracking based on hyperspectral video. Pattern Recognition. 172. 112296–112296.

Yu, Jianing, Liyuan Li, Long Gao, et al.. (2024). High-resolution thermal infrared contrails images identification and classification method based on SDGSAT-1. International Journal of Applied Earth Observation and Geoinformation. 131. 103980–103980. 5 indexed citations

Xu, Congan, Chunhui Zhao, Long Gao, et al.. (2024). Multimodal Object Detection of UAV Remote Sensing Based on Joint Representation Optimization and Specific Information Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12364–12373. 10 indexed citations

Gao, Long, et al.. (2024). First-passage properties of bundled networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7). 1 indexed citations

10.

Gao, Long, et al.. (2024). Fractal and first-passage properties of a class of self-similar networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(3). 4 indexed citations

11.

Xu, Congan, Long Gao, Hang Su, et al.. (2023). Label Smoothing Auxiliary Classifier Generative Adversarial Network with Triplet Loss for SAR Ship Classification. Remote Sensing. 15(16). 4058–4058. 1 indexed citations

12.

Gao, Long, et al.. (2023). Transformer-based visual object tracking via fine–coarse concatenated attention and cross concatenated MLP. Pattern Recognition. 146. 109964–109964. 20 indexed citations

13.

Li, Yunyi, Long Gao, Bambi Hu, Guan Gui, & Chaoyang Chen. (2023). Nonlocal low-rank plus deep denoising prior for robust image compressed sensing reconstruction. Expert Systems with Applications. 228. 120456–120456. 8 indexed citations

14.

Gao, Long, et al.. (2023). A Transformer-Based Network for Hyperspectral Object Tracking. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 18 indexed citations

15.

Gao, Long, Yan Jiang, Weiying Xie, et al.. (2023). CBFF-Net: A New Framework for Efficient and Accurate Hyperspectral Object Tracking. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 21 indexed citations

16.

Chen, Yongjin, et al.. (2023). Optimizing search processes with stochastic resetting on the pseudofractal scale-free web. Physical review. E. 108(6). 64109–64109. 3 indexed citations

17.

Gao, Long, et al.. (2023). Transformer-Based Multiple-Object Tracking via Anchor-Based-Query and Template Matching. Sensors. 24(1). 229–229. 5 indexed citations

18.

Lei, Jie, Pan Liu, Weiying Xie, et al.. (2022). Spatial–Spectral Cross-Correlation Embedded Dual-Transfer Network for Object Tracking Using Hyperspectral Videos. Remote Sensing. 14(15). 3512–3512. 17 indexed citations

19.

Gao, Long, et al.. (2021). Trapping efficiency of random walks on weighted scale-free trees. Journal of Statistical Mechanics Theory and Experiment. 2021(6). 63405–63405. 7 indexed citations

20.

Gao, Long, Min Yi, Min Xing, et al.. (2020). In situ activated mesenchymal stem cells (MSCs) by bioactive hydrogels for myocardial infarction treatment. Journal of Materials Chemistry B. 8(34). 7713–7722. 45 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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