Qikai Lu

2.8k total citations · 1 hit paper
45 papers, 1.9k citations indexed

About

Qikai Lu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Qikai Lu has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Atmospheric Science. Recurrent topics in Qikai Lu's work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (13 papers) and Remote Sensing in Agriculture (11 papers). Qikai Lu is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (13 papers) and Remote Sensing in Agriculture (11 papers). Qikai Lu collaborates with scholars based in China, Canada and Germany. Qikai Lu's co-authors include Gui-Song Xia, Nan Xue, Jian Ding, Yang Long, Xin Huang, Liangpei Zhang, Lifei Wei, Liangpei Zhang, Antonio Plaza and Nianxue Luo and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Qikai Lu

43 papers receiving 1.9k citations

Hit Papers

Learning RoI Transformer for Oriented Object Detection in... 2019 2026 2021 2023 2019 250 500 750 1000
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.

  1. Learning RoI Transformer for Oriented Object Detection in Aerial Images
    2019 1.0k citations Jian Ding, Nan Xue et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qikai Lu China 19 1.0k 887 414 293 282 45 1.9k
Ronny Hänsch Germany 22 495 0.5× 710 0.8× 350 0.8× 276 0.9× 198 0.7× 97 1.7k
Jian Kang China 22 736 0.7× 946 1.1× 389 0.9× 392 1.3× 200 0.7× 91 2.1k
María González-Audícana Spain 14 909 0.9× 1.4k 1.6× 230 0.6× 301 1.0× 439 1.6× 35 2.0k
Haigang Sui China 22 623 0.6× 601 0.7× 247 0.6× 296 1.0× 231 0.8× 119 1.7k
Menglong Yan China 23 1.3k 1.3× 1.4k 1.5× 389 0.9× 550 1.9× 438 1.6× 56 2.6k
Farhad Samadzadegan Iran 27 460 0.5× 776 0.9× 253 0.6× 349 1.2× 329 1.2× 128 1.9k
Costas Armenakis Canada 21 525 0.5× 724 0.8× 292 0.7× 173 0.6× 236 0.8× 66 1.8k
Xinyu Wang China 24 605 0.6× 1.6k 1.8× 264 0.6× 774 2.6× 439 1.6× 96 2.5k
Silvano Galliani Switzerland 9 1.7k 1.7× 794 0.9× 387 0.9× 109 0.4× 172 0.6× 14 2.3k
Κωνσταντίνος Καράντζαλος Greece 28 659 0.7× 1.3k 1.5× 184 0.4× 681 2.3× 554 2.0× 115 2.6k

Countries citing papers authored by Qikai Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qikai Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qikai Lu

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

All Works

20 of 20 papers shown
1.
2.
Lu, Qikai, et al.. (2023). Global predictions of topsoil organic carbon stocks under changing climate in the 21st century. The Science of The Total Environment. 908. 168448–168448. 12 indexed citations
3.
4.
Wei, Lifei, Qikai Lu, Yanfei Zhong, et al.. (2023). Mapping soil available copper content in the mine tailings pond with combined simulated annealing deep neural network and UAV hyperspectral images. Environmental Pollution. 320. 120962–120962. 25 indexed citations
5.
Lu, Qikai, Hui Liu, Lifei Wei, Yanfei Zhong, & Zheng Zhou. (2023). Global prediction of gross primary productivity under future climate change. The Science of The Total Environment. 912. 169239–169239. 18 indexed citations
6.
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Lu, Qikai, et al.. (2022). Digital mapping of soil pH and carbonates at the European scale using environmental variables and machine learning. The Science of The Total Environment. 856(Pt 2). 159171–159171. 65 indexed citations
8.
Lu, Qikai, et al.. (2021). Retrieval of Water Quality from UAV-Borne Hyperspectral Imagery: A Comparative Study of Machine Learning Algorithms. Remote Sensing. 13(19). 3928–3928. 49 indexed citations
9.
Wei, Lifei, et al.. (2021). Multiple Feature Fusion for Fine Classification of Crops in UAV Hyperspectral Imagery. 5059–5062. 3 indexed citations
10.
Lu, Qikai & Lifei Wei. (2021). Multiscale Superpixel-Based Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
11.
Lu, Qikai. (2021). An Investigation on Self-Attentive Models for Malware Classification. University of Alberta Library. 1 indexed citations
12.
Ding, Jian, Nan Xue, Yang Long, Gui-Song Xia, & Qikai Lu. (2019). Learning RoI Transformer for Oriented Object Detection in Aerial Images. 2844–2853. 1013 indexed citations breakdown →
13.
Liu, Zicheng, et al.. (2019). Multi-Scale Weighted Branch Network for Remote Sensing Image Classification. Computer Vision and Pattern Recognition. 1–10. 4 indexed citations
14.
Tong, Xinyi, Gui-Song Xia, Qikai Lu, et al.. (2018). Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images.. 34 indexed citations
15.
Lu, Qikai, Yong Ma, & Gui-Song Xia. (2017). Active learning for training sample selection in remote sensing image classification using spatial information. Remote Sensing Letters. 8(12). 1210–1219. 14 indexed citations
16.
Xia, Gui-Song, et al.. (2017). Retrieving Aerial Scene Images with Learned Deep Image-Sketch Features. Journal of Computer Science and Technology. 32(4). 726–737. 19 indexed citations
17.
Lu, Hongyang, et al.. (2017). Classification of High-Resolution Remote-Sensing Image Using OpenStreetMap Information. IEEE Geoscience and Remote Sensing Letters. 14(12). 2305–2309. 32 indexed citations
18.
Lu, Qikai, et al.. (2014). Effectively Mining Network Traffic Intelligence to Detect Malicious Stealthy Port Scanning to Cloud Servers. 網際網路技術學刊. 15(5). 841–852. 3 indexed citations
19.
Huang, Xin, Qikai Lu, & Liangpei Zhang. (2014). A multi-index learning approach for classification of high-resolution remotely sensed images over urban areas. ISPRS Journal of Photogrammetry and Remote Sensing. 90. 36–48. 129 indexed citations
20.
He, Yuyang, et al.. (2008). Exploiting query-sensitive similarity for graph-based query-oriented summarization. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 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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