Calvin Hung

976 total citations
9 papers, 474 citations indexed

About

Calvin Hung is a scholar working on Ecology, Plant Science and Insect Science. According to data from OpenAlex, Calvin Hung has authored 9 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 6 papers in Plant Science and 4 papers in Insect Science. Recurrent topics in Calvin Hung's work include Smart Agriculture and AI (4 papers), Biological Control of Invasive Species (4 papers) and Remote Sensing in Agriculture (4 papers). Calvin Hung is often cited by papers focused on Smart Agriculture and AI (4 papers), Biological Control of Invasive Species (4 papers) and Remote Sensing in Agriculture (4 papers). Calvin Hung collaborates with scholars based in Australia. Calvin Hung's co-authors include Salah Sukkarieh, James Underwood, Zhe Xu, Brett Whelan, Mitch Bryson, Juan Nieto, Zachary Taylor, Todd Lupton, Ali Haydar Göktoğan and Tony M. Dugdale and has published in prestigious journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Calvin Hung

9 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Calvin Hung Australia	6	267	221	191	53	49	9	474
Mauro dos Santos de Arruda Brazil	8	238 0.9×	237 1.1×	176 0.9×	69 1.3×	34 0.7×	11	475
Everton Castel�ão Tetila Brazil	9	463 1.7×	252 1.1×	176 0.9×	77 1.5×	48 1.0×	19	712
Jizhong Deng China	15	541 2.0×	313 1.4×	148 0.8×	66 1.2×	38 0.8×	31	768
Yanan Yan China	7	194 0.7×	312 1.4×	190 1.0×	42 0.8×	63 1.3×	11	610
Raquel Alves de Oliveira Finland	14	131 0.5×	302 1.4×	225 1.2×	40 0.8×	80 1.6×	40	549
Aleem Khaliq Italy	7	221 0.8×	214 1.0×	142 0.7×	78 1.5×	42 0.9×	13	476
Gaetano Messina Italy	9	202 0.8×	284 1.3×	191 1.0×	36 0.7×	51 1.0×	28	506
Shengping Liu China	10	252 0.9×	235 1.1×	98 0.5×	30 0.6×	16 0.3×	41	563
Diogo Nunes Gonçalves Brazil	12	224 0.8×	181 0.8×	131 0.7×	110 2.1×	34 0.7×	22	515
Morten Stigaard Laursen Denmark	9	278 1.0×	150 0.7×	117 0.6×	62 1.2×	76 1.6×	21	441

Countries citing papers authored by Calvin Hung

Since Specialization

Citations

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

Fields of papers citing papers by Calvin Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calvin Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Calvin Hung. A scholar is included among the top collaborators of Calvin Hung 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 Calvin Hung. Calvin Hung 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:

9 of 9 papers shown

1.

Underwood, James, Calvin Hung, Brett Whelan, & Salah Sukkarieh. (2016). Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors. Computers and Electronics in Agriculture. 130. 83–96. 133 indexed citations

2.

Hung, Calvin, James Underwood, Juan Nieto, & Salah Sukkarieh. (2016). Autonomous intelligent system for fruit yield estimation. Acta Horticulturae. 545–550. 3 indexed citations

3.

Hung, Calvin & Salah Sukkarieh. (2015). Using robotic aircraft and intelligent surveillance systems for orange hawkweed detection. Plant protection quarterly. 30(3). 100–102. 5 indexed citations

4.

Dugdale, Tony M., et al.. (2014). Detection of alligator weed using an unmanned aerial vehicle. Plant protection quarterly. 29(3). 84. 4 indexed citations

5.

Hung, Calvin, Zhe Xu, & Salah Sukkarieh. (2014). Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV. Remote Sensing. 6(12). 12037–12054. 129 indexed citations

6.

Hung, Calvin & Salah Sukkarieh. (2013). Robotic aircraft and intelligent surveillance systems for weed detection. Plant protection quarterly. 28(3). 78. 5 indexed citations

7.

Hung, Calvin, Juan Nieto, Zachary Taylor, James Underwood, & Salah Sukkarieh. (2013). Orchard fruit segmentation using multi-spectral feature learning. 5314–5320. 74 indexed citations

8.

Hung, Calvin, Mitch Bryson, & Salah Sukkarieh. (2012). Multi-class predictive template for tree crown detection. ISPRS Journal of Photogrammetry and Remote Sensing. 68. 170–183. 70 indexed citations

9.

Göktoğan, Ali Haydar, et al.. (2009). A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management. Journal of Intelligent & Robotic Systems. 57(1-4). 467–484. 51 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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