Yang Ping Lee

486 total citations
18 papers, 352 citations indexed

About

Yang Ping Lee is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Yang Ping Lee has authored 18 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Ecology and 5 papers in Molecular Biology. Recurrent topics in Yang Ping Lee's work include Oil Palm Production and Sustainability (8 papers), Plant Stress Responses and Tolerance (5 papers) and Remote Sensing in Agriculture (4 papers). Yang Ping Lee is often cited by papers focused on Oil Palm Production and Sustainability (8 papers), Plant Stress Responses and Tolerance (5 papers) and Remote Sensing in Agriculture (4 papers). Yang Ping Lee collaborates with scholars based in Malaysia, Japan and Germany. Yang Ping Lee's co-authors include Dirk K. Hincha, Ellen Zuther, Margarete Baier, Voon Chet Koo, Aimrun Wayayok, Wataru Takeuchi, Md Rowshon Kamal, Abdul Rashid Mohamed Shariff, Alexander Erban and Joachim Kopka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Remote Sensing.

In The Last Decade

Yang Ping Lee

18 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Ping Lee Malaysia	10	246	116	108	48	44	18	352
Christoph Jedmowski Germany	11	332 1.3×	141 1.2×	90 0.8×	129 2.7×	54 1.2×	15	491
Julie Olejníčková Czechia	8	215 0.9×	43 0.4×	158 1.5×	118 2.5×	42 1.0×	13	336
Leidi Wang China	8	203 0.8×	38 0.3×	93 0.9×	53 1.1×	30 0.7×	16	292
Walter Chivasa Kenya	7	282 1.1×	33 0.3×	116 1.1×	33 0.7×	37 0.8×	13	372
Ansar Ali Pakistan	9	236 1.0×	52 0.4×	85 0.8×	38 0.8×	39 0.9×	14	316
Kenny L. Brown United Kingdom	5	258 1.0×	143 1.2×	121 1.1×	82 1.7×	19 0.4×	10	386
Craig C. Brelsford Finland	8	179 0.7×	58 0.5×	71 0.7×	66 1.4×	27 0.6×	9	269
José E. B. A. Monteiro Brazil	10	300 1.2×	36 0.3×	62 0.6×	84 1.8×	18 0.4×	16	387
Viridiana Silva‐Pérez Australia	10	451 1.8×	80 0.7×	188 1.7×	115 2.4×	12 0.3×	16	533
Roberto Rea Italy	6	232 0.9×	48 0.4×	61 0.6×	69 1.4×	7 0.2×	11	298

Countries citing papers authored by Yang Ping Lee

Since Specialization

Citations

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

Fields of papers citing papers by Yang Ping Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Ping Lee. 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 Yang Ping Lee. The network helps show where Yang Ping Lee may publish in the future.

Co-authorship network of co-authors of Yang Ping Lee

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

All Works

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18 of 18 papers shown

Shafri, Helmi Zulhaidi Mohd, Yang Ping Lee, Shaiful Jahari Hashim, et al.. (2024). Block-scale Oil Palm Yield Prediction Using Machine Learning Approaches Based on Landsat and MODIS Satellite Data. Journal of Advanced Research in Applied Sciences and Engineering Technology. 45(1). 90–107. 2 indexed citations

Shafri, Helmi Zulhaidi Mohd, Yang Ping Lee, Shaiful Jahari Hashim, et al.. (2022). A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI. Geocarto International. 37(25). 9865–9896. 16 indexed citations

Koo, Voon Chet, et al.. (2022). A multi-layer perceptron-based approach for early detection of BSR disease in oil palm trees using hyperspectral images. Heliyon. 8(4). e09252–e09252. 23 indexed citations

Shafri, Helmi Zulhaidi Mohd, Yang Ping Lee, Shaiful Jahari Hashim, et al.. (2022). Oil palm yield prediction across blocks from multi-source data using machine learning and deep learning. Earth Science Informatics. 15(4). 2349–2367. 13 indexed citations

Lee, Yang Ping, et al.. (2022). In silico Genome-Wide Computational Profiling of Non-Coding RNA in Oil Palm Elaeis guineensis and its Pathogen Ganoderma boninense. Malaysian Applied Biology. 51(5). 271–280. 2 indexed citations

Kurihara, Junichi, et al.. (2022). Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging. Remote Sensing. 14(3). 799–799. 32 indexed citations

Chan, Yee Kit, Voon Chet Koo, Kian Ming Lim, et al.. (2022). Design and Development of a Drone Based Hyperspectral Imaging System. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4200–4203. 1 indexed citations

Shariff, Abdul Rashid Mohamed, et al.. (2021). Vegetation Effects on Soil Moisture Retrieval from Water Cloud Model Using PALSAR-2 for Oil Palm Trees. Remote Sensing. 13(20). 4023–4023. 8 indexed citations

Shariff, Abdul Rashid Mohamed, et al.. (2021). Utilizing TVDI and NDWI to Classify Severity of Agricultural Drought in Chuping, Malaysia. Agronomy. 11(6). 1243–1243. 43 indexed citations

10.

Shariff, Abdul Rashid Mohamed, et al.. (2021). Comparison of Field and SAR-Derived Descriptors in the Retrieval of Soil Moisture from Oil Palm Crops Using PALSAR-2. Remote Sensing. 13(23). 4729–4729. 5 indexed citations

11.

Ting, Ngoot‐Chin, Maizura Ithnin, Sean Mayes, et al.. (2021). Comparison of quantitative trait loci (QTLs) associated with yield components in two commercial Dura × Pisifera breeding crosses. Euphytica. 217(6). 4 indexed citations

12.

Lee, Yang Ping, et al.. (2020). Draft genome assembly dataset of the Basidiomycete pathogenic fungus, Ganoderma boninense. SHILAP Revista de lepidopterología. 29. 105167–105167. 4 indexed citations

13.

Lee, Yang Ping, et al.. (2019). Transcriptomic data of mature oil palm basal trunk tissue infected with Ganoderma boninense. SHILAP Revista de lepidopterología. 25. 104288–104288. 6 indexed citations

14.

Zuther, Ellen, Yang Ping Lee, Alexander Erban, Joachim Kopka, & Dirk K. Hincha. (2018). Natural Variation in Freezing Tolerance and Cold Acclimation Response in Arabidopsis thaliana and Related Species. Advances in experimental medicine and biology. 1081. 81–98. 19 indexed citations

15.

Lee, Yang Ping, Alexander Erban, Joachim Kopka, et al.. (2016). Salt stress responses in a geographically diverse collection of Eutrema/Thellungiella spp. accessions. Functional Plant Biology. 43(7). 590–606. 12 indexed citations

16.

Zuther, Ellen, et al.. (2015). Time-dependent deacclimation after cold acclimation in Arabidopsis thaliana accessions. Scientific Reports. 5(1). 12199–12199. 69 indexed citations

17.

Lee, Yang Ping, Federico M. Giorgi, Marc Lohse, et al.. (2013). Transcriptome sequencing and microarray design for functional genomics in the extremophile Arabidopsis relative Thellungiella salsuginea (Eutrema salsugineum). BMC Genomics. 14(1). 793–793. 31 indexed citations

18.

Lee, Yang Ping, et al.. (2012). Comparison of freezing tolerance, compatible solutes and polyamines in geographically diverse collections of Thellungiella sp. and Arabidopsis thaliana accessions. BMC Plant Biology. 12(1). 131–131. 62 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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