Qifu Luan

472 total citations
31 papers, 324 citations indexed

About

Qifu Luan is a scholar working on Ecology, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Qifu Luan has authored 31 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 11 papers in Nature and Landscape Conservation and 10 papers in Molecular Biology. Recurrent topics in Qifu Luan's work include Forest ecology and management (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Qifu Luan is often cited by papers focused on Forest ecology and management (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Qifu Luan collaborates with scholars based in China, New Zealand and Sweden. Qifu Luan's co-authors include Jingmin Jiang, Yanjie Li, Yini Zhang, Shu Diao, Honggang Sun, Cong Xu, Zhanglin Ni, Federico Tomasetto, Baoguo Du and Harry X. Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and PLoS Genetics.

In The Last Decade

Qifu Luan

29 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qifu Luan China	11	153	91	89	74	32	31	324
Ubirajara Contro Malavasi Brazil	12	411 2.7×	73 0.8×	40 0.4×	107 1.4×	9 0.3×	103	542
Marlene de Matos Malavasì Brazil	12	436 2.8×	88 1.0×	38 0.4×	91 1.2×	7 0.2×	95	560
Elena Orsini Germany	7	319 2.1×	59 0.6×	106 1.2×	7 0.1×	12 0.4×	11	386
M. Trockenbrodt Malaysia	10	200 1.3×	68 0.7×	40 0.4×	67 0.9×	5 0.2×	15	369
Sophie Dietz Germany	7	259 1.7×	70 0.8×	106 1.2×	54 0.7×	3 0.1×	7	410
James E. Faust United States	15	622 4.1×	112 1.2×	49 0.6×	35 0.5×	32 1.0×	71	739
Viivi Ahonen Finland	8	263 1.7×	38 0.4×	36 0.4×	38 0.5×	18 0.6×	8	370
Carlos André Stuepp Brazil	13	335 2.2×	160 1.8×	25 0.3×	98 1.3×	4 0.1×	50	460
Tami L. Stubbs United States	9	175 1.1×	27 0.3×	52 0.6×	14 0.2×	6 0.2×	14	301
Markus Woitke Germany	10	231 1.5×	53 0.6×	34 0.4×	54 0.7×	4 0.1×	15	342

Countries citing papers authored by Qifu Luan

Since Specialization

Citations

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

Fields of papers citing papers by Qifu Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifu Luan

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

Luan, Qifu, Shuai Zhang, Xi Lin, et al.. (2025). Near-infrared light-activated Z -to- E isomerization of azobenzene via triplet sensitization from PbS quantum dots. Chemical Science. 16(35). 16151–16157.

He, Zhengquan, Yuying Yang, Yuanyuan Zhao, et al.. (2025). Screening and a Comprehensive Evaluation of Pinus elliottii with a High Efficiency of Phosphorus Utilization. Forests. 16(8). 1291–1291.

Diao, Shu, Qifu Luan, Zhiqiang Chen, et al.. (2024). Development of 51 K liquid-phased probe array for Loblolly and Slash pines and its application to GWAS of Slash pine breeding population. Industrial Crops and Products. 216. 118777–118777. 5 indexed citations

Li, Yanjie, et al.. (2024). UAV-driven GWAS analysis of canopy temperature and new shoots genetics in slash pine. Industrial Crops and Products. 212. 118330–118330. 1 indexed citations

Luan, Qifu, et al.. (2024). Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs). Precision Agriculture. 25(2). 1086–1105. 5 indexed citations

Zhang, Yini, et al.. (2024). Genetic selection for growth, wood quality and resin traits of potential Slash pine for multiple industrial uses. SHILAP Revista de lepidopterología. 4(1). 0–0. 1 indexed citations

Li, Yanjie, et al.. (2024). Enhancing genomic association studies in slash pine through close-range UAV-based morphological phenotyping. SHILAP Revista de lepidopterología. 4(1). 0–0. 1 indexed citations

Xu, Cong, et al.. (2024). Multitemporal UAV study of phenolic compounds in slash pine canopies. Remote Sensing of Environment. 315. 114454–114454. 2 indexed citations

Li, Yanjie, et al.. (2023). Phenomic selection in slash pine multi-temporally using UAV-multispectral imagery. Frontiers in Plant Science. 14. 1156430–1156430. 5 indexed citations

10.

Li, Yanjie, et al.. (2023). Genetic analysis and elite tree selection of the main resin components of slash pine. Frontiers in Plant Science. 14. 1079952–1079952. 9 indexed citations

11.

Zhang, Yini, et al.. (2023). Transcriptional regulation modulates terpenoid biosynthesis of Pinus elliottii under drought stress. Industrial Crops and Products. 202. 116975–116975. 16 indexed citations

12.

Xia, Hao, Yue Cao, Zhaoxu Zhang, et al.. (2023). CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery. Plant Phenomics. 5. 65–65. 10 indexed citations

13.

Xu, Cong, et al.. (2023). Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine. Plant Phenomics. 5. 28–28. 8 indexed citations

14.

Luan, Qifu, et al.. (2022). Prediction and Comparisons of Turpentine Content in Slash Pine at Different Slope Positions Using Near-Infrared Spectroscopy. Plants. 11(7). 914–914. 4 indexed citations

15.

Li, Yanjie, Honggang Sun, Federico Tomasetto, Jingmin Jiang, & Qifu Luan. (2022). Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees. Plant Phenomics. 2022. 9892728–9892728. 10 indexed citations

16.

Zhang, Yini, Qifu Luan, Jingmin Jiang, & Yanjie Li. (2021). Prediction and Utilization of Malondialdehyde in Exotic Pine Under Drought Stress Using Near-Infrared Spectroscopy. Frontiers in Plant Science. 12. 735275–735275. 111 indexed citations

17.

Li, Yanjie, et al.. (2020). Inheritance and Correlation Analysis of Pulpwood Properties, Wood Density, and Growth Traits of Slash Pine. Forests. 11(5). 493–493. 7 indexed citations

18.

Luan, Qifu, et al.. (2016). Genetic and correlation analysis of oleoresin chemical components in slash pine. Genetics and Molecular Research. 15(3). 24 indexed citations

19.

Zhang, Jianzhong, et al.. (2010). Heritability estimates for real resin capacity and growth traits in high-gum-yielding slash pine. Zhejiang Linxueyuan xuebao. 27(3). 367–373. 2 indexed citations

20.

Luan, Qifu, et al.. (2005). Genetic Diversity of Michelia chapensis Dandy Populations. Forest Research Open Access. 18(2). 109–113. 4 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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