Dongjian He

5.9k total citations · 3 hit papers
174 papers, 4.3k citations indexed

About

Dongjian He is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Dongjian He has authored 174 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 40 papers in Computer Vision and Pattern Recognition and 39 papers in Analytical Chemistry. Recurrent topics in Dongjian He's work include Smart Agriculture and AI (56 papers), Spectroscopy and Chemometric Analyses (38 papers) and Remote Sensing and Land Use (21 papers). Dongjian He is often cited by papers focused on Smart Agriculture and AI (56 papers), Spectroscopy and Chemometric Analyses (38 papers) and Remote Sensing and Land Use (21 papers). Dongjian He collaborates with scholars based in China, United States and United Kingdom. Dongjian He's co-authors include Bin Liu, Dandan Wang, Yun Zhang, Yuxiang Li, Chunquan Liang, Yuehan Chen, Peng Jiang, Huaibo Song, Yangyang Guo and Bo Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dongjian He

167 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks

2019 602 citations Dongjian He et al. IEEE Access profile →
Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

2017 547 citations Dongjian He et al. Symmetry profile →
Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning

2021 226 citations Dongjian He et al. Biosystems Engineering profile →

Peers

Dongjian He

PS

AC

CVPR

ECOLO

SA

V. Alchanatis Israel

Huaibo Song China

Changying Li United States

Sook Yoon South Korea

Wouter Saeys Belgium

Dimitrios Moshou Greece

Salah Sukkarieh Australia

Hemerson Pistori Brazil

Jayme Garcia Arnal Barbedo Brazil

Yuzhen Lu United States

V. Alchanatis Israel

Dongjian He

3.1k ×1.2

PS

921 ×0.8

AC

194 ×0.3

CVPR

1.9k ×3.5

ECOLO

145 ×0.3

SA

Citations per year, relative to Dongjian He Dongjian He (= 1×) peers V. Alchanatis

Countries citing papers authored by Dongjian He

Since Specialization

Citations

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

Fields of papers citing papers by Dongjian He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjian He

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

20 of 20 papers shown

1.

He, Dongjian, et al.. (2023). A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions. Precision Agriculture. 24(6). 2416–2437. 2 indexed citations

2.

Zhang, Zonghang, et al.. (2023). Aquaculture environment changes fish behavioral adaptability directly or indirectly through personality traits: a case study. Reviews in Fish Biology and Fisheries. 33(4). 1423–1441. 8 indexed citations

3.

Hu, Xiao, et al.. (2021). Construction of Apple Leaf Diseases Identification Networks Based on Xception Fused by SE Module. Applied Sciences. 11(10). 4614–4614. 28 indexed citations

4.

Yuan, Aihong, et al.. (2021). Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation. IEEE Transactions on Knowledge and Data Engineering. 35(3). 3030–3044. 26 indexed citations

5.

Tang, Jinglei, et al.. (2020). 3D Segmentation of Pulmonary Nodules Based on Multi-View and Semi-Supervised. IEEE Access. 8. 26457–26467. 16 indexed citations

6.

Yuan, Aihong, et al.. (2020). Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection. IEEE Transactions on Cybernetics. 52(6). 5522–5534. 71 indexed citations

7.

He, Dongjian, et al.. (2020). A Novel Chicken Meat Quality Evaluation Method Based on Color Card Localization and Color Correction. IEEE Access. 8. 170093–170100. 18 indexed citations

8.

He, Dongjian, et al.. (2020). Identification of Apple Tree Leaf Diseases Based on Deep Learning Models. Symmetry. 12(7). 1065–1065. 95 indexed citations

9.

Jiang, Mei, et al.. (2019). Recognition of green apples in an orchard environment by combining the GrabCut model and Ncut algorithm. Biosystems Engineering. 187. 201–213. 42 indexed citations

10.

Hu, Jintian, et al.. (2019). Model for tomato photosynthetic rate based on neural network with genetic algorithm. International journal of agricultural and biological engineering. 12(1). 179–185. 10 indexed citations

11.

Wang, Meili, Ming Ju, Yuling Fan, et al.. (2019). 3D Incomplete Point Cloud Surfaces Reconstruction With Segmentation and Feature-Enhancement. IEEE Access. 7. 15272–15281. 7 indexed citations

12.

Wu, Dihua, Qian Wu, Bo Jiang, et al.. (2019). Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector. Biosystems Engineering. 189. 150–163. 115 indexed citations

13.

Gao, Qiang, Meili Wang, Yangyang Guo, Xiaoqiang Zhao, & Dongjian He. (2019). Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy. IEEE Access. 7. 128064–128075. 8 indexed citations

14.

Wang, Meili, Shihui Guo, Minghong Liao, et al.. (2018). Action snapshot with single pose and viewpoint. The Visual Computer. 35(4). 507–520. 3 indexed citations

15.

Chen, Yujuan, et al.. (2017). Intelligent monitoring method of cow ruminant behavior based on video analysis technology. International journal of agricultural and biological engineering. 10(5). 194–202. 9 indexed citations

16.

Wang, Meili, Yu Sun, Hongming Zhang, et al.. (2016). Digital relief generation from 3D models. Chinese Journal of Mechanical Engineering. 29(6). 1128–1133. 2 indexed citations

17.

Zhao, Kaixuan, et al.. (2016). ガウスの混合モデルのリアルタイムの移動と乳牛の目標検出に基づく【JST・京大機械翻訳】. 47(5). 294. 1 indexed citations

18.

Zhang, Zhiyong, et al.. (2013). Picking Robot Arm Trajectory Planning Method. SHILAP Revista de lepidopterología. 5 indexed citations

19.

He, Dongjian. (2008). Visualized Simulation of Wheat Roots Based on L-System. Journal of Agricultural Mechanization Research. 2 indexed citations

20.

He, Dongjian. (2005). Design of three-phase multifunction energy metering system. Dianli zidonghua shebei. 1 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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