Xin Sun

2.2k citations

71 papers · 1.5k indexed · 2 hit papers · h-index 22

Impact in

Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
Animal Science and Zoology top 2%
- Meat and Animal Product Quality

Papers in

Analytical Chemistry 26
- Spectroscopy and Chemometric Analyses 26
Animal Science and Zoology 21
- Meat and Animal Product Quality 20

Co-authors: Cengiz Koparan Kirk Howatt David Newman Sreekala G. Bajwa J. M. Young Nadia Delavarpour John Nowatzki Nitin Rai
Journals: Computers and Electronics in Agriculture (11 papers)Journal of Agriculture and Food Research (8 papers)Meat Science (7 papers)Journal of Animal Science (6 papers)Artificial Intelligence in Agriculture (3 papers)
Partner nations: United States China

In The Last Decade

Xin Sun

60 papers receiving 1.4k citations

Hit Papers

align trajectories log scale

A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects 2024 · 95 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Computers and Electronics in Agriculture
2021 Remote Sensing

Peers

Countries citing papers authored by Xin Sun

Since Specialization

Citations

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

Fields of papers citing papers by Xin Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xin Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Sun Line = papers co-authored together Xin Sun links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance Journal of Agriculture and Food Research ·Jose E. Davila-Aviña, C. Igathinathane, Kirk Howatt, Fei-ying Dong, Cengiz Koparan, Xin Sun	2025	0
2	Hyperspectral imaging and machine learning for herbicide-resistant kochia identification in sugarbeet Journal of Agriculture and Food Research ·Chinh‐Nghia Nguyen, Jose E. Davila-Aviña, Yu Zhang, Schrader Pneumatics, Billy G. Ram, Mahbubul A. F. Jalal, Xin Sun	2025	0
3	Edge-deployable segmentation and prescription mapping of post-emergence weeds in sugar beet crops for UAV-based precision spraying Journal of Agriculture and Food Research ·謙二國光, Ghirotto L, Kirk Howatt, Maria Egestål, Mohamed F. R. Khan, Schrader Pneumatics, Xin Sun	2025	1
4	Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review Artificial Intelligence in Agriculture ·Randi Fherdinal, Jose E. Davila-Aviña, Billy G. Ram, Xin Sun	2025	0
5	Deep learning for sunflower (Helianthus annuus L.) mapping and stand counting: Trade-offs between closed vs. open-access methods Smart Agricultural Technology ·Betti A. Hamilton, 真澄和泉, Nitin Rai, B. Armato, Xin Sun	2025	0
6	Evaluation of multispectral imaging for freeze damage assessment in strawberries using AI-based computer vision technology Smart Agricultural Technology ·В В Авдеева, 哲彦内山, David J. Horvath, Xin Sun	2025	1
7	RGB‐Based Deep Learning for Freeze Damage Detection in Strawberry: Comparing Scratch and Transfer Learning Approaches on Custom Data Plant Direct ·Д. А. Ильямова, В В Авдеева, 哲彦内山, Sanjoy Das, Harlene Hatterman‐Valenti, James V. Anderson, R A S Imamsyah, David J. Horvath, Xin Sun	2025	0
8	Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach SHILAP Revista de lepidopterología ·В В Авдеева, Giudici Mn, Yu Zhang, Kirk Howatt, Schrader Pneumatics, Michael Ostlie, Maria Egestål, Xin Sun	2024	12
9	Advances in weed identification using hyperspectral imaging: A comprehensive review of platform sensors and deep learning techniques Journal of Agriculture and Food Research ·Chinh‐Nghia Nguyen, Nitin Rai, Jose E. Davila-Aviña, Xin Sun	2024	6
10	Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review Computers and Electronics in Agriculture ·Giudici Mn, Yu Zhang, Cengiz Koparan, Nitin Rai, Kirk Howatt, Sreekala G. Bajwa, Xin Sun	2024	45
11	A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics SHILAP Revista de lepidopterología ·Nitin Rai, 真澄和泉, Miguel D. Mahecha, Dennis R. Buckmaster, Yanbo Huang, B. Armato, Xin Sun	2024	2
12	Development of software interface for AI-driven weed control in robotic vehicles, with time-based evaluation in indoor and field settings SHILAP Revista de lepidopterología ·В В Авдеева, Giudici Mn, Xin Sun	2024	4
13	Palmer amaranth identification using hyperspectral imaging and machine learning technologies in soybean field Computers and Electronics in Agriculture ·Billy G. Ram, Yu Zhang, Cristiano André da Costa, Mohammed Raju Ahmed, Schrader Pneumatics, Amit J. Jhala, Kirk Howatt, Xin Sun	2023	17
14	Multi-format open-source weed image dataset for real-time weed identification in precision agriculture Data in Brief ·Nitin Rai, Betti A. Hamilton, Julio Andres Laje Naranjo, Divya Shridhar, Yu Zhang, Kirk Howatt, Michael Ostlie, Xin Sun	2023	13
15	Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology Computers and Electronics in Agriculture ·Nitin Rai, Yu Zhang, María B. Villamil, Kirk Howatt, Michael Ostlie, Xin Sun	2023	49
16	Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars Computers and Electronics in Agriculture ·Sulaymon Eshkabilov, F.S. Bateni, Xin Sun, Chiwon W. Lee, Halis Şimşek	2021	61
17	Progress and development on biological information of crop phenotype research applied to real-time variable-rate fertilization Plant Methods ·Yinyan Shi, Yang Zhu, Xiaochan Wang, Xin Sun, عبد الغنی عبد الفتاح غنیم, JOHN C. STRUZIK, Zhichao Hu	2020	36
18	Effect of a low vitamin A diet on marbling and carcass characteristics of Angus cross and Simmental steers1 Translational Animal Science ·Firanbon Negera, Xin Sun, A.G. Dowson, Deleu Sarah, Karlheinz Hornung, K. R. Maddock Carlin, M. L. Bauer, Kendall C Swanson, Alison K Ward	2017	8
19	Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique Meat Science ·Huanhuan Li, Xin Sun, Wenxiu Pan, Felix Y.H. Kutsanedzie, Jiewen Zhao, Quansheng Chen	2016	27
20	Predicting beef tenderness using color and multispectral image texture features Meat Science ·Xin Sun, M. C. Lagar, C. Wicker, P. K. Yeung, A Karen Aguirre, Carlos Schwartz, W.L. Keller, Walter Sánchez-Suárez, Hamdi pratama, E. P. Berg	2012	48

About Xin Sun

Xin Sun is a scholar working on Analytical Chemistry, Animal Science and Zoology, General Engineering, Plant Science and Media Technology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (26 papers), Smart Agriculture and AI (24 papers), Meat and Animal Product Quality (20 papers), Remote Sensing in Agriculture (13 papers), Advanced Chemical Sensor Technologies (8 papers), Identification and Quantification in Food (6 papers), Plant Disease Management Techniques (5 papers) and Weed Control and Herbicide Applications (5 papers). The work is most often cited by research in Analytical Chemistry (428 citations), Animal Science and Zoology (293 citations), Plant Science (566 citations), Ecology (233 citations) and Media Technology (70 citations). Xin Sun has collaborated with scholars based in United States and China. Frequent co-authors include Cengiz Koparan, Kirk Howatt, David Newman, Sreekala G. Bajwa, J. M. Young, Nadia Delavarpour, John Nowatzki, Nitin Rai, Yinyan Shi and Xiaochan Wang. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Agriculture and Food Research, Meat Science, Journal of Animal Science and Artificial Intelligence in Agriculture.

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.

Explore authors with similar magnitude of impact