Huanda Lu

838 total citations
20 papers, 669 citations indexed

About

Huanda Lu is a scholar working on Nature and Landscape Conservation, Analytical Chemistry and Water Science and Technology. According to data from OpenAlex, Huanda Lu has authored 20 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 5 papers in Analytical Chemistry and 4 papers in Water Science and Technology. Recurrent topics in Huanda Lu's work include Fish Ecology and Management Studies (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Water Quality Monitoring Technologies (4 papers). Huanda Lu is often cited by papers focused on Fish Ecology and Management Studies (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Water Quality Monitoring Technologies (4 papers). Huanda Lu collaborates with scholars based in China, United States and Australia. Huanda Lu's co-authors include Xinjie Yu, Di Wu, Ying Liu, Zhangying Ye, Jian Zhao, Lie Tang, Xian Li, M. Shen, Li Liu and Ziyi Liu and has published in prestigious journals such as Aquaculture, Journal of Experimental Biology and Computers and Electronics in Agriculture.

In The Last Decade

Huanda Lu

19 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huanda Lu China 12 266 219 181 110 108 20 669
Limiao Deng China 15 320 1.2× 81 0.4× 461 2.5× 122 1.1× 28 0.3× 36 808
Chun‐Chieh Yang United States 18 359 1.3× 101 0.5× 283 1.6× 128 1.2× 49 0.5× 67 977
José Miguel Valiente Spain 11 132 0.5× 151 0.7× 156 0.9× 41 0.4× 50 0.5× 27 494
Gabriela Andreu-Garcı́a Spain 9 118 0.4× 171 0.8× 153 0.8× 46 0.4× 52 0.5× 17 420
Genaro M. Soto-Zarazúa Mexico 12 62 0.2× 56 0.3× 281 1.6× 58 0.5× 19 0.2× 40 645
Rebecca L. Whetton Belgium 12 390 1.5× 42 0.2× 632 3.5× 48 0.4× 36 0.3× 19 1.2k
Xinjie Yu China 14 664 2.5× 27 0.1× 288 1.6× 252 2.3× 120 1.1× 26 875
Helong Yu China 13 106 0.4× 41 0.2× 309 1.7× 30 0.3× 14 0.1× 31 525
Jun Yue China 11 70 0.3× 93 0.4× 166 0.9× 31 0.3× 26 0.2× 30 603

Countries citing papers authored by Huanda Lu

Since Specialization
Citations

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

Fields of papers citing papers by Huanda Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanda Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huanda Lu. A scholar is included among the top collaborators of Huanda 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 Huanda Lu. Huanda 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.
Lu, Huanda, et al.. (2025). Multi‐Scale Feature Guided Transformer for Image Inpainting. IET Image Processing. 19(1).
2.
Lu, Huanda, et al.. (2024). Reform of Blended Online and Offline Teaching in the Object-oriented Programming Course. 1(2). 208–212. 1 indexed citations
3.
Zhang, Derong, et al.. (2023). Deep learning combined with Balance Mixup for the detection of pine wilt disease using multispectral imagery. Computers and Electronics in Agriculture. 208. 107778–107778. 17 indexed citations
4.
Xu, Libo, et al.. (2022). A non-definitive auto-transfer mechanism for arbitrary style transfers. Knowledge-Based Systems. 260. 110171–110171. 4 indexed citations
6.
Zhang, Haolan, et al.. (2022). A Survey on Big Data Technologies and Their Applications to the Metaverse: Past, Current and Future. Mathematics. 11(1). 96–96. 25 indexed citations
7.
Hu, Yu, et al.. (2021). The behavioural pattern and variation in parental care of Aequidens rivulatus. Aquaculture Research. 53(4). 1404–1412. 1 indexed citations
8.
Yi, Mengmeng, Huanda Lu, Yishuai Du, et al.. (2021). The color change and stress response of Atlantic salmon (Salmo salar L.) infected with Aeromonas salmonicida. Aquaculture Reports. 20. 100664–100664. 4 indexed citations
9.
Houslay, Thomas M., et al.. (2020). Choice consequences: Salinity preferences and hatchling survival in the mangrove rivulus fish (Kryptolebias marmoratus). Journal of Experimental Biology. 3 indexed citations
10.
Lu, Huanda, Ronghua Li, Weiwei Song, et al.. (2019). The effect of tank colour on growth performance, stress response and carapace colour of juvenile swimming crab Portunus trituberculatus. Aquaculture Research. 50(9). 2735–2742. 11 indexed citations
12.
Zhao, Jian, Yihao Li, Songming Zhu, et al.. (2018). Semi-Supervised Learning-Based Live Fish Identification in Aquaculture Using Modified Deep Convolutional Generative Adversarial Networks. Transactions of the ASABE. 61(2). 699–710. 27 indexed citations
13.
Zhao, Jian, Songming Zhu, Ying Liu, et al.. (2018). Modified motion influence map and recurrent neural network-based monitoring of the local unusual behaviors for fish school in intensive aquaculture. Aquaculture. 493. 165–175. 66 indexed citations
14.
Yu, Xinjie, Huanda Lu, & Di Wu. (2018). Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging. Postharvest Biology and Technology. 141. 39–49. 163 indexed citations
15.
Yu, Xinjie, et al.. (2017). Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf. Chemometrics and Intelligent Laboratory Systems. 172. 188–193. 95 indexed citations
16.
Yu, Xinjie, et al.. (2017). Nondestructive Freshness Discriminating of Shrimp Using Visible/Near-Infrared Hyperspectral Imaging Technique and Deep Learning Algorithm. Food Analytical Methods. 11(3). 768–780. 65 indexed citations
17.
Zhao, Jian, Mingming Shi, Huanda Lu, et al.. (2016). Spatial behavioral characteristics and statistics-based kinetic energy modeling in special behaviors detection of a shoal of fish in a recirculating aquaculture system. Computers and Electronics in Agriculture. 127. 271–280. 55 indexed citations
18.
Liu, Ziyi, et al.. (2014). Measuring feeding activity of fish in RAS using computer vision. Aquacultural Engineering. 60. 20–27. 85 indexed citations
19.
Shi, Zhiyi, et al.. (2011). Report on first time reproductive success from full life-cycle culture of Kaluga sturgeon females (Huso dauricus). Journal of Applied Ichthyology. 27(2). 550–553. 2 indexed citations
20.
Liu, Yangguang & Huanda Lu. (2009). GRAPH CLASSIFICATION USING COMPLEMENT INFORMATION. 185–190. 23 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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