Daobilige Su

1.2k total citations
39 papers, 801 citations indexed

About

Daobilige Su is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Daobilige Su has authored 39 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 12 papers in Electrical and Electronic Engineering and 11 papers in Signal Processing. Recurrent topics in Daobilige Su's work include Speech and Audio Processing (11 papers), Smart Agriculture and AI (11 papers) and Robotics and Sensor-Based Localization (11 papers). Daobilige Su is often cited by papers focused on Speech and Audio Processing (11 papers), Smart Agriculture and AI (11 papers) and Robotics and Sensor-Based Localization (11 papers). Daobilige Su collaborates with scholars based in Australia, China and Japan. Daobilige Su's co-authors include Salah Sukkarieh, He Kong, Yongliang Qiao, Cameron Clark, Sabrina Lomax, Jaime Valls Miró, Shoudong Huang, Teresa Vidal‐Calleja, Gamini Dissanayake and Teng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Sensors.

In The Last Decade

Daobilige Su

36 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daobilige Su Australia 16 240 191 181 166 147 39 801
Henrik Karstoft Denmark 17 246 1.0× 214 1.1× 103 0.6× 89 0.5× 115 0.8× 48 1.0k
He Kong China 17 200 0.8× 197 1.0× 177 1.0× 98 0.6× 150 1.0× 79 972
Leifeng Guo China 17 307 1.3× 230 1.2× 204 1.1× 78 0.5× 231 1.6× 61 1.0k
Philip Valencia Australia 14 125 0.5× 111 0.6× 106 0.6× 48 0.3× 145 1.0× 32 1.5k
Thi Thi Zin Japan 15 96 0.4× 404 2.1× 177 1.0× 39 0.2× 197 1.3× 133 881
Daniel Riordan Ireland 13 98 0.4× 191 1.0× 67 0.4× 96 0.6× 40 0.3× 61 721
Jing Nie China 17 306 1.3× 158 0.8× 47 0.3× 85 0.5× 48 0.3× 78 962
A.R. Frost United Kingdom 14 180 0.8× 61 0.3× 86 0.5× 70 0.4× 163 1.1× 39 807
Dave L. Swain Australia 14 146 0.6× 71 0.4× 159 0.9× 28 0.2× 240 1.6× 34 969

Countries citing papers authored by Daobilige Su

Since Specialization
Citations

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

Fields of papers citing papers by Daobilige Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daobilige Su

This figure shows the co-authorship network connecting the top 25 collaborators of Daobilige Su. A scholar is included among the top collaborators of Daobilige Su 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 Daobilige Su. Daobilige Su 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.
Tan, Yu, Fang Ji, Daobilige Su, et al.. (2024). CFIHL: a variety of chlorophyll a fluorescence transient image datasets of hydroponic lettuce. Frontiers in Plant Science. 15. 1414324–1414324.
2.
Su, Daobilige, Katsutoshi Itoyama, Kazuhiro Nakadai, et al.. (2024). SLAM-Based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization. IEEE Transactions on Robotics. 40. 4024–4044. 8 indexed citations
3.
Yang, Shenghui, et al.. (2024). Leaf‐density estimation for fruit‐tree canopy based on wind‐excited audio. Journal of Field Robotics. 41(5). 1469–1479. 3 indexed citations
4.
Su, Daobilige, et al.. (2024). CropFinder: AI-based Detection and Tracking of Crops for Precision Agriculture. 1–6. 1 indexed citations
5.
He, Yuanzheng, Jiang Wang, Daobilige Su, et al.. (2023). Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization. 1–8. 3 indexed citations
6.
Cai, Yu, et al.. (2022). LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots. Frontiers in Plant Science. 13. 1047356–1047356. 6 indexed citations
7.
Su, Daobilige, et al.. (2022). LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture. Frontiers in Plant Science. 13. 1003243–1003243. 23 indexed citations
8.
Xue, Tengfei, Yongliang Qiao, He Kong, et al.. (2021). One-Shot Learning-Based Animal Video Segmentation. IEEE Transactions on Industrial Informatics. 18(6). 3799–3807. 19 indexed citations
9.
Qiao, Yongliang, Cameron Clark, Sabrina Lomax, et al.. (2021). Automated Individual Cattle Identification Using Video Data: A Unified Deep Learning Architecture Approach. SHILAP Revista de lepidopterología. 2. 17 indexed citations
10.
Kong, He, et al.. (2020). Filtering for systems subject to unknown inputs without a priori initial information. Automatica. 120. 109122–109122. 17 indexed citations
11.
Su, Daobilige, Teresa Vidal‐Calleja, & Jaime Valls Miró. (2019). Asynchronous microphone arrays calibration and sound source tracking. Autonomous Robots. 44(2). 183–204. 8 indexed citations
12.
Su, Daobilige, et al.. (2019). Improved Noise Covariance Estimation in Visual Servoing Using an Autocovariance Least-squares Approach. IFAC-PapersOnLine. 52(22). 37–42. 4 indexed citations
13.
Qiao, Yongliang, Daobilige Su, He Kong, et al.. (2019). Individual Cattle Identification Using a Deep Learning Based Framework. IFAC-PapersOnLine. 52(30). 318–323. 67 indexed citations
14.
Wang, Mengmeng, Yong Liu, Daobilige Su, et al.. (2018). Accurate and Real-Time 3-D Tracking for the Following Robots by Fusing Vision and Ultrasonar Information. IEEE/ASME Transactions on Mechatronics. 23(3). 997–1006. 49 indexed citations
15.
Su, Daobilige, Teresa Vidal‐Calleja, & Jaime Valls Miró. (2017). Towards real-time 3D sound sources mapping with linear microphone arrays. 1662–1668. 17 indexed citations
16.
Su, Daobilige, Keisuke Nakamura, Kazuhiro Nakadai, & Jaime Valls Miró. (2016). Robust sound source mapping using three-layered selective audio rays for mobile robots. 1. 2771–2777. 6 indexed citations
17.
Su, Daobilige, Jaime Valls Miró, & Teresa Vidal‐Calleja. (2015). Real-time sound source localisation for target tracking applications using an asynchronous microphone array. 1261–1266. 5 indexed citations
18.
Su, Daobilige, Jaime Valls Miró, & Teresa Vidal‐Calleja. (2015). Modelling in-pipe acoustic signal propagation for condition assessment of multi-layer water pipelines. 3 indexed citations
19.
Su, Daobilige, Teresa Vidal‐Calleja, & Jaime Valls Miró. (2015). Simultaneous asynchronous microphone array calibration and sound source localisation. 5561–5567. 12 indexed citations
20.
Su, Daobilige & Jaime Valls Miró. (2014). An ultrasonic/RF GP-based sensor model robotic solution for indoors/outdoors person tracking. 1662–1667. 3 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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