Jiyul Chang

668 total citations
19 papers, 519 citations indexed

About

Jiyul Chang is a scholar working on Environmental Engineering, Soil Science and Plant Science. According to data from OpenAlex, Jiyul Chang has authored 19 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 7 papers in Soil Science and 7 papers in Plant Science. Recurrent topics in Jiyul Chang's work include Soil Carbon and Nitrogen Dynamics (7 papers), Remote Sensing in Agriculture (6 papers) and Soil and Water Nutrient Dynamics (5 papers). Jiyul Chang is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Remote Sensing in Agriculture (6 papers) and Soil and Water Nutrient Dynamics (5 papers). Jiyul Chang collaborates with scholars based in United States. Jiyul Chang's co-authors include David E. Clay, Sharon A. Clay, Kyle Pittman, Mark Carroll, C. Dimiceli, Matthew C. Hansen, K. J. Dalsted, Larry Leigh, Thomas E. Schumacher and Maitiniyazi Maimaitijiang and has published in prestigious journals such as Sensors, Agronomy Journal and Weed Science.

In The Last Decade

Jiyul Chang

17 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyul Chang United States 11 298 199 162 156 116 19 519
J. L. Ping United States 9 199 0.7× 232 1.2× 197 1.2× 105 0.7× 102 0.9× 13 501
Jean-Marc Gilliot France 12 305 1.0× 269 1.4× 182 1.1× 116 0.7× 127 1.1× 22 544
Alan D. Meijer United States 7 319 1.1× 201 1.0× 293 1.8× 86 0.6× 141 1.2× 9 591
Alan J. Stern United States 11 617 2.1× 324 1.6× 223 1.4× 320 2.1× 118 1.0× 26 896
Nahuel Raúl Peralta Argentina 11 302 1.0× 373 1.9× 302 1.9× 115 0.7× 176 1.5× 21 715
Dieter Trautz Germany 12 174 0.6× 91 0.5× 257 1.6× 84 0.5× 124 1.1× 42 541
Ravi P. Sripada United States 11 619 2.1× 421 2.1× 353 2.2× 160 1.0× 174 1.5× 15 916
D. A. Holmstrom Canada 9 210 0.7× 141 0.7× 113 0.7× 55 0.4× 100 0.9× 16 432
Yinsuo Zhang Canada 11 300 1.0× 128 0.6× 189 1.2× 199 1.3× 56 0.5× 17 594
František Zemek Czechia 12 255 0.9× 143 0.7× 170 1.0× 132 0.8× 54 0.5× 28 497

Countries citing papers authored by Jiyul Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jiyul Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyul Chang

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

All Works

19 of 19 papers shown
1.
Chang, Jiyul, et al.. (2024). Soil Health Class-2: Soil pH. Open PRAIRIE (South Dakota State University).
2.
Leigh, Larry, et al.. (2022). Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning. Sensors. 22(2). 601–601. 60 indexed citations
3.
Chang, Jiyul & Madhav Nepal. (2019). Using Drones for Precision Agriculture. Open PRAIRIE (South Dakota State University). 1 indexed citations
4.
Chang, Jiyul, et al.. (2017). A Rapid Method for Measuring Feces Ammonia‐Nitrogen and Carbon Dioxide‐Carbon Emissions and Decomposition Rate Constants. Agronomy Journal. 109(4). 1240–1248. 5 indexed citations
5.
Chang, Jiyul, David E. Clay, Alexander J. Smart, & Sharon A. Clay. (2016). Estimating Annual Root Decomposition in Grassland Systems. Rangeland Ecology & Management. 69(4). 288–291. 5 indexed citations
6.
Chang, Jiyul, David E. Clay, Sharon A. Clay, et al.. (2016). Biochar Reduced Nitrous Oxide and Carbon Dioxide Emissions from Soil with Different Water and Temperature Cycles. Agronomy Journal. 108(6). 2214–2221. 24 indexed citations
7.
Chang, Jiyul, et al.. (2014). Water stress impacts on transgenic drought‐tolerant corn in the Northern Great Plains. Crops & Soils. 47(2). 40–45.
8.
Chang, Jiyul, et al.. (2014). Water Stress Impacts on Transgenic Drought‐Tolerant Corn in the Northern Great Plains. Agronomy Journal. 106(1). 125–130. 28 indexed citations
9.
Clay, David E., Jiyul Chang, Sharon A. Clay, et al.. (2012). Corn Yields and No‐Tillage Affects Carbon Sequestration and Carbon Footprints. Agronomy Journal. 104(3). 763–770. 42 indexed citations
10.
Chang, Jiyul, et al.. (2008). Evaluating Modified Atmospheric Correction Methods for Landsat Imagery: Image‐Based and Model‐Based Calibration Methods. Communications in Soil Science and Plant Analysis. 39(9-10). 1532–1545. 9 indexed citations
11.
Chang, Jiyul, Matthew C. Hansen, Kyle Pittman, Mark Carroll, & C. Dimiceli. (2007). Corn and Soybean Mapping in the United States Using MODIS Time‐Series Data Sets. Agronomy Journal. 99(6). 1654–1664. 156 indexed citations
12.
Chang, Jiyul & David E. Clay. (2005). Identifying Factors for Corn Yield Prediction Models and Evaluating Model Selection Methods. The Korean Journal of Crop Science. 50(4). 268–275. 1 indexed citations
13.
Chang, Jiyul, Sharon A. Clay, David E. Clay, et al.. (2005). Clouds Influence Precision and Accuracy of Ground‐Based Spectroradiometers. Communications in Soil Science and Plant Analysis. 36(13-14). 1799–1807. 22 indexed citations
14.
Chang, Jiyul, Sharon A. Clay, David E. Clay, & K. J. Dalsted. (2004). Detecting weed-free and weed-infested areas of a soybean field using near-infrared spectral data. Weed Science. 52(4). 642–648. 17 indexed citations
15.
Chang, Jiyul, et al.. (2004). Defining Yield Goals and Management Zones to Minimize Yield and Nitrogen and Phosphorus Fertilizer Recommendation Errors. Agronomy Journal. 96(3). 825–831. 33 indexed citations
16.
Chang, Jiyul, David E. Clay, C. G. Carlson, et al.. (2003). Different Techniques to Identify Management Zones Impact Nitrogen and Phosphorus Sampling Variability. Agronomy Journal. 95(6). 1550–1559. 39 indexed citations
17.
Chang, Jiyul, David E. Clay, K. J. Dalsted, Sharon A. Clay, & Mary O’Neill. (2003). Corn (Zea mays L.) Yield Prediction Using Multispectral and Multidate Reflectance. Agronomy Journal. 95(6). 1447–1453. 46 indexed citations
18.
Chang, Jiyul, et al.. (2000). Precision farming protocols. part 2. comparison of sampling approaches for precision phosphorus management. Communications in Soil Science and Plant Analysis. 31(19-20). 2969–2985. 6 indexed citations
19.
Chang, Jiyul, et al.. (1999). Precision Farming Protocols: Part 1. Grid Distance and Soil Nutrient Impact on the Reproducibility of Spatial Variability Measurements. Precision Agriculture. 1(3). 277–289. 25 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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2026