Hao Lü

5.3k total citations · 1 hit paper
101 papers, 2.6k citations indexed

About

Hao Lü is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Ecology. According to data from OpenAlex, Hao Lü has authored 101 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 32 papers in Plant Science and 19 papers in Ecology. Recurrent topics in Hao Lü's work include Smart Agriculture and AI (29 papers), Remote Sensing in Agriculture (19 papers) and Video Surveillance and Tracking Methods (14 papers). Hao Lü is often cited by papers focused on Smart Agriculture and AI (29 papers), Remote Sensing in Agriculture (19 papers) and Video Surveillance and Tracking Methods (14 papers). Hao Lü collaborates with scholars based in China, Australia and United States. Hao Lü's co-authors include Zhiguo Cao, Chunhua Shen, Yang Xiao, Haipeng Xiong, Wenze Liu, Hongtao Fu, Yanjun Zhu, Yutong Dai, Ke Xian and Liang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemosphere.

In The Last Decade

Hao Lü

94 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.

Learning to Upsample by Learning to Sample

2023 243 citations Wenze Liu, Hao Lü et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hao Lü China	28	1.1k	1.1k	638	497	380	101	2.6k
Chris McCool United States	28	1.8k 1.6×	826 0.7×	402 0.6×	284 0.6×	496 1.3×	99	3.5k
Feras Dayoub Australia	18	1.1k 1.0×	1.5k 1.4×	289 0.5×	341 0.7×	346 0.9×	55	3.1k
Inkyu Sa Australia	19	1.4k 1.2×	647 0.6×	448 0.7×	130 0.3×	386 1.0×	41	2.3k
Artzai Picón Spain	21	1.1k 1.0×	928 0.8×	265 0.4×	281 0.6×	460 1.2×	61	2.8k
Adel Hafiane France	22	892 0.8×	456 0.4×	462 0.7×	240 0.5×	232 0.6×	70	1.9k
Tristán Pérez Australia	30	1.5k 1.4×	393 0.4×	327 0.5×	271 0.5×	386 1.0×	135	4.2k
Davut Hanbay Türkiye	25	538 0.5×	414 0.4×	172 0.3×	380 0.8×	255 0.7×	104	2.1k
Rujing Wang China	30	1.3k 1.2×	297 0.3×	223 0.3×	270 0.5×	387 1.0×	167	3.0k
Jifeng Ning China	22	386 0.3×	1.2k 1.1×	225 0.4×	153 0.3×	241 0.6×	86	2.1k
Xiangjun Zou China	38	2.7k 2.4×	944 0.9×	347 0.5×	133 0.3×	618 1.6×	141	4.1k

Countries citing papers authored by Hao Lü

Since Specialization

Citations

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

Fields of papers citing papers by Hao Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Lü

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

Cao, Shuyu, et al.. (2025). The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling. Plant Phenomics. 7(1). 100005–100005. 2 indexed citations

Liu, Yuliang, Mingxin Huang, Weijia Wu, et al.. (2025). VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2957–2972.

Zhang, Jiafei, et al.. (2025). Nighttime environment enables robust field-based high-throughput plant phenotyping: A system platform and a case study on rice. Computers and Electronics in Agriculture. 235. 110337–110337. 4 indexed citations

Li, Ning, et al.. (2025). Acoustic recognition of wood based on computer deep learning. Industrial Crops and Products. 231. 121175–121175.

Li, Linyuan, Marie Weiss, Wei Guo, et al.. (2024). Bridging real and simulated data for cross-spatial- resolution vegetation segmentation with application to rice crops. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 133–150. 2 indexed citations

Fu, Hongtao, Wenze Liu, Yuliang Liu, Zhiguo Cao, & Hao Lü. (2023). SIERRA: A robust bilateral feature upsampler for dense prediction. Computer Vision and Image Understanding. 235. 103762–103762. 2 indexed citations

Lü, Hao, et al.. (2023). Farmland boundary extraction based on the AttMobile-DeeplabV3+ network and least squares fitting of straight lines. Frontiers in Plant Science. 14. 1228590–1228590. 4 indexed citations

Lü, Hao, et al.. (2023). Interactive image segmentation based field boundary perception method and software for autonomous agricultural machinery path planning. Computers and Electronics in Agriculture. 217. 108568–108568. 4 indexed citations

Lü, Hao, et al.. (2023). Land Use/Cover Change, Fragmentation, and Driving Factors in Nepal in the Last 25 Years. Sustainability. 15(8). 6957–6957. 19 indexed citations

10.

Lü, Hao, et al.. (2023). Non-Invasive Online Abnormal Load Identification Method Based on AOA-SVM. 965–969.

11.

Lü, Hao, et al.. (2022). Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5141–5154. 6 indexed citations

12.

Wang, Kewei, et al.. (2022). Dynamic Color Transform Networks for Wheat Head Detection. Plant Phenomics. 2022. 9818452–9818452. 19 indexed citations

13.

Zhou, Shuang, Hao Lü, Xu Zhang, et al.. (2022). Paraben exposures and their interactions with ESR1/2 genetic polymorphisms on hypertension. Environmental Research. 213. 113651–113651. 7 indexed citations

14.

Lü, Hao, et al.. (2021). TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 55 indexed citations

15.

Lü, Hao, et al.. (2021). A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks. Future Internet. 13(10). 260–260. 1 indexed citations

16.

Liu, Liang, Zhiguo Cao, Hao Lü, Haipeng Xiong, & Chunhua Shen. (2020). NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. IEEE Transactions on Intelligent Transportation Systems. 23(4). 3103–3114. 11 indexed citations

17.

Liu, Liang, Hao Lü, Yanan Li, & Zhiguo Cao. (2020). High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks. Plant Phenomics. 2020. 1375957–1375957. 26 indexed citations

18.

Liu, Liang, Hao Lü, Haipeng Xiong, et al.. (2019). Counting Objects by Blockwise Classification. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3513–3527. 49 indexed citations

19.

Lü, Hao, Yutong Dai, Chunhua Shen, & Songcen Xu. (2019). Indices Matter: Learning to Index for Deep Image Matting. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 3265–3274. 107 indexed citations

20.

Zhang, Lei, Peng Wang, Wei Wei, et al.. (2018). Unsupervised Domain Adaptation Using Robust Class-Wise Matching. IEEE Transactions on Circuits and Systems for Video Technology. 29(5). 1339–1349. 50 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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