Chongchong Qi

8.8k total citations · 4 hit papers
156 papers, 7.4k citations indexed

About

Chongchong Qi is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Building and Construction. According to data from OpenAlex, Chongchong Qi has authored 156 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Civil and Structural Engineering, 55 papers in Mechanics of Materials and 36 papers in Building and Construction. Recurrent topics in Chongchong Qi's work include Tailings Management and Properties (57 papers), Rock Mechanics and Modeling (52 papers) and Mine drainage and remediation techniques (29 papers). Chongchong Qi is often cited by papers focused on Tailings Management and Properties (57 papers), Rock Mechanics and Modeling (52 papers) and Mine drainage and remediation techniques (29 papers). Chongchong Qi collaborates with scholars based in China, Australia and Vietnam. Chongchong Qi's co-authors include Andy Fourie, Qiusong Chen, Qinli Zhang, Xiaolin Tang, Lang Liu, Ki-Il Song, Binh Thai Pham, Chongchun Xiao, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ and Xiangjian Dong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Chongchong Qi

149 papers receiving 7.2k 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.

Cemented paste backfill for mineral tailings management: Review and future perspectives

2019 467 citations Chongchong Qi, Andy Fourie profile →
Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact

2018 330 citations Qiusong Chen, Chongchong Qi et al. profile →
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

2020 264 citations Dong Van Dao, Mahmoud Bayat et al. CATENA profile →
Global and regional patterns of soil metal(loid) mobility and associated risks

2025 43 citations Chongchong Qi, Tao Hu et al. profile →

Peers

Chongchong Qi

CSE

Andy Fourie Australia

Jixiong Zhang China

Lianyang Zhang United States

Wei Liu China

Annan Zhou China

Wancheng Zhu China

Kenichi Soga United Kingdom

Wei Wu Austria

Deyi Jiang China

Yinping Li China

Andy Fourie Australia

Chongchong Qi

6.0k ×1.2

CSE

2.5k ×0.9

1.2k ×0.8

1.1k ×1.0

590 ×0.6

Citations per year, relative to Chongchong Qi Chongchong Qi (= 1×) peers Andy Fourie

Countries citing papers authored by Chongchong Qi

Since Specialization

Citations

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

Fields of papers citing papers by Chongchong Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongchong Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Chongchong Qi. A scholar is included among the top collaborators of Chongchong Qi 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 Chongchong Qi. Chongchong Qi 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

Barkhordari, Mohammad Sadegh & Chongchong Qi. (2025). Prediction of soil arsenic concentration in European soils: A dimensionality reduction and ensemble learning approach. Journal of Hazardous Materials Advances. 17. 100604–100604. 2 indexed citations

Barkhordari, Mohammad Sadegh & Chongchong Qi. (2025). Prediction of zinc, cadmium, and arsenic in european soils using multi-end machine learning models. Journal of Hazardous Materials. 490. 137800–137800. 13 indexed citations

Yang, Haiqing, et al.. (2025). Climate-driven transition in microbial deterioration and protection of stone surfaces at cultural heritage sites. Communications Earth & Environment. 6(1).

Qi, Chongchong, et al.. (2024). Mapping global distributions of clay-size minerals via soil properties and machine learning techniques. The Science of The Total Environment. 949. 174776–174776. 7 indexed citations

Barkhordari, Mohammad Sadegh, et al.. (2024). Interpretable machine learning for predicting heavy metal removal efficiency in electrokinetic soil remediation. Journal of environmental chemical engineering. 12(6). 114330–114330. 11 indexed citations

He, Biao, et al.. (2024). A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost. Transportation Geotechnics. 45. 101216–101216. 25 indexed citations

Hu, Tao, Chongchong Qi, Mengting Wu, et al.. (2024). Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning. International Journal of Applied Earth Observation and Geoinformation. 134. 104158–104158. 5 indexed citations

Zhou, Min, et al.. (2024). Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale. Ecological Informatics. 81. 102615–102615. 26 indexed citations

Qi, Chongchong, Tao Hu, Mengting Wu, et al.. (2024). Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem. SHILAP Revista de lepidopterología. 10. 100728–100728. 4 indexed citations

10.

Li, Xiaoshuang, Daolin Wang, Qiusong Chen, & Chongchong Qi. (2024). Alkali activation of blast furnace slag using Bayer red mud as an alternative activator to prepare cemented paste backfill. Construction and Building Materials. 453. 139061–139061. 15 indexed citations

11.

Qi, Chongchong, Min Zhou, Chunhui Zhang, et al.. (2024). Leveraging visible-near-infrared spectroscopy and machine learning to detect nickel contamination in soil: Addressing class imbalances for environmental management. Journal of Hazardous Materials Advances. 16. 100489–100489. 1 indexed citations

12.

Qi, Chongchong, et al.. (2023). Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset. Construction and Building Materials. 391. 131827–131827. 13 indexed citations

13.

Hai, Tao, Zainab Al-Khafaji, Chongchong Qi, et al.. (2021). Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions. Engineering Applications of Computational Fluid Mechanics. 15(1). 1585–1612. 47 indexed citations

14.

Dao, Dong Van, Mahmoud Bayat, Davood Mafi-Gholami, et al.. (2020). A spatially explicit deep learning neural network model for the prediction of landslide susceptibility. CATENA. 188. 104451–104451. 264 indexed citations breakdown →

15.

Pham, Binh Thai, T. Nguyen‐Thoi, Chongchong Qi, et al.. (2020). Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping. CATENA. 195. 104805–104805. 125 indexed citations

16.

Dong, Xiangjian, Ali Karrech, Hakan Başarır, Mohamed Elchalakani, & Chongchong Qi. (2020). Closed-Form Solution to the Poromechanics of Deep Arbitrary-Shaped Openings Subjected to Rock Mass Alteration. International Journal of Geomechanics. 20(12). 6 indexed citations

17.

Pham, Binh Thai, Tran Van Phong, Huu Duy Nguyen, et al.. (2020). A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping. Water. 12(1). 239–239. 109 indexed citations

18.

Dong, Xiangjian, et al.. (2020). 3D bolted cohesive element for the modelling of bolt-reinforced rough rock-shotcrete interfaces. Computers and Geotechnics. 125. 103659–103659. 10 indexed citations

19.

Nguyen, Manh Duc, Binh Thai Pham, Lanh Si Ho, et al.. (2020). Soft-computing techniques for prediction of soils consolidation coefficient. CATENA. 195. 104802–104802. 52 indexed citations

20.

Qi, Chongchong, Andy Fourie, Qiusong Chen, & Xiangjian Dong. (2019). Analytical Solution for Stress Distribution around Arbitrary Stopes Using Evolutionary Complex Variable Methods. International Journal of Geomechanics. 19(10). 5 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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