Bingzi Jin

76 total papers · 4.1k total citations
73 papers, 2.4k citations indexed

About

Bingzi Jin is a scholar working on Economics and Econometrics, Management Science and Operations Research and Mechanical Engineering. According to data from OpenAlex, Bingzi Jin has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 29 papers in Management Science and Operations Research and 13 papers in Mechanical Engineering. Recurrent topics in Bingzi Jin's work include Market Dynamics and Volatility (25 papers), Forecasting Techniques and Applications (18 papers) and Grey System Theory Applications (12 papers). Bingzi Jin is often cited by papers focused on Market Dynamics and Volatility (25 papers), Forecasting Techniques and Applications (18 papers) and Grey System Theory Applications (12 papers). Bingzi Jin collaborates with scholars based in United States, Canada and Japan. Bingzi Jin's co-authors include Xiaojie Xu, Xiaojie Xu, Xiaojie Xu, Yun Zhang, Kenji Oshima, Yasuyoshi Kaneko, Zhenming Xu, Jian Li and Lei Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Neural Computing and Applications.

In The Last Decade

Bingzi Jin

70 papers receiving 2.3k citations

Hit Papers

Forecasting wholesale pri... 2024 2026 2024 2024 2024 2024 2024 50 100 150
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Forecasting wholesale prices of yellow corn through the Gaussian process regression
    2024 184 citations Bingzi Jin, Xiaojie Xu Neural Computing and Applications profile →
  2. Wholesale price forecasts of green grams using the neural network
    2024 165 citations Bingzi Jin, Xiaojie Xu Econstor (Econstor) profile →
  3. Price forecasting through neural networks for crude oil, heating oil, and natural gas
    2024 162 citations Bingzi Jin, Xiaojie Xu profile →
  4. Carbon emission allowance price forecasting for China Guangdong carbon emission exchange via the neural network
    2024 131 citations Bingzi Jin, Xiaojie Xu profile →
  5. Contemporaneous causality among price indices of ten major steel products
    2024 108 citations Bingzi Jin, Xiaojie Xu Ironmaking & Steelmaking Processes Products and Applications profile →
  6. Pre-owned housing price index forecasts using Gaussian process regressions
    2024 106 citations Bingzi Jin, Xiaojie Xu Journal of Modelling in Management profile →
  7. Machine learning predictions of regional steel price indices for east China
    2024 101 citations Bingzi Jin, Xiaojie Xu Ironmaking & Steelmaking Processes Products and Applications profile →
  8. Predictions of steel price indices through machine learning for the regional northeast Chinese market
    2024 96 citations Bingzi Jin, Xiaojie Xu Neural Computing and Applications profile →
  9. Palladium Price Predictions via Machine Learning
    2024 88 citations Bingzi Jin, Xiaojie Xu profile →
  10. Thermal coal futures trading volume predictions through the neural network
    2024 85 citations Bingzi Jin, Xiaojie Xu et al. Journal of Modelling in Management profile →
  11. Gaussian Process Regression Based Silver Price Forecasts
    2024 66 citations Bingzi Jin, Xiaojie Xu profile →
  12. Forecasts of thermal coal prices through Gaussian process regressions
    2024 66 citations Bingzi Jin, Xiaojie Xu Ironmaking & Steelmaking Processes Products and Applications profile →
  13. Machine Learning Coffee Price Predictions
    2024 45 citations Bingzi Jin, Xiaojie Xu profile →
  14. Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities
    2024 43 citations Bingzi Jin, Xiaojie Xu profile →
  15. Contemporaneous causal orderings among prices of retail properties: evidence from Chinese cities through vector error-correction modeling and directed acyclic graphs
    2025 42 citations Bingzi Jin, Xiaojie Xu Journal of Financial Management of Property and Construction profile →
  16. Peanut oil price change forecasts through the neural network
    2025 37 citations Bingzi Jin, Xiaojie Xu et al. foresight profile →
  17. Predictions of residential property price indices for China via machine learning models
    2025 25 citations Bingzi Jin, Xiaojie Xu Quality & Quantity profile →
  18. China commodity price index (CCPI) forecasting via the neural network
    2025 21 citations Bingzi Jin, Xiaojie Xu International Journal of Financial Engineering profile →
  19. Machine learning natural gas price predictions
    2025 21 citations Bingzi Jin, Xiaojie Xu profile →
  20. Predicting Scrap Steel Prices Through Machine Learning for South China
    2025 19 citations Bingzi Jin et al. profile →
  21. Machine learning predictions of China commodity price indices
    2025 18 citations Bingzi Jin, Xiaojie Xu Discrete Mathematics Algorithms and Applications profile →
  22. National Scrap Steel Price Forecasts Using Gaussian Process Regression Models
    2025 18 citations Bingzi Jin, Xiaojie Xu profile →
  23. Machine learning gold price forecasting
    2025 18 citations Bingzi Jin et al. International Journal of Management Science and Engineering Management profile →
  24. Machine learning platinum price predictions
    2025 17 citations Bingzi Jin, Xiaojie Xu The Engineering Economist profile →
  25. Forecasting Residential Real Estate Prices via Machine Learning for Taizhou City of Zhejiang Province in China
    2025 17 citations Bingzi Jin et al. profile →
  26. Scrap steel price predictions for southwest China via machine learning
    2025 17 citations Bingzi Jin, Xiaojie Xu profile →
  27. FORECASTS OF WHOLESALE SOYBEAN OIL PRICE INDICES VIA GAUSSIAN PROCESS REGRESSIONS
    2025 16 citations Bingzi Jin, Xiaojie Xu profile →
  28. High-Frequency CSI300 Spot and Futures Price Predictions via the Neural Network
    2025 16 citations Bingzi Jin, Xiaojie Xu profile →
  29. Machine Learning Copper Price Predictions: Evidence Based on Gaussian Process Regressions Tuned with Cross-Validation and Bayesian Optimization
    2025 15 citations Bingzi Jin, Xiaojie Xu profile →
  30. Machine Learning Green Gram Price Predictions
    2025 14 citations Bingzi Jin et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bingzi Jin 659 533 372 247 220 73 2.4k
Mohammadamin Azimi 202 0.3× 251 0.5× 425 1.1× 324 1.3× 180 0.8× 44 1.9k
Joaquín Ordieres‐Meré 217 0.3× 155 0.3× 295 0.8× 243 1.0× 244 1.1× 148 3.3k
Xiaolei Sun 438 0.7× 1.4k 2.6× 452 1.2× 68 0.3× 368 1.7× 120 2.8k
Kaijian He 764 1.2× 1.7k 3.2× 662 1.8× 44 0.2× 398 1.8× 78 2.6k
T.N. Goh 363 0.6× 412 0.8× 251 0.7× 101 0.4× 282 1.3× 74 2.3k
Lee‐Ing Tong 1.0k 1.6× 102 0.2× 590 1.6× 377 1.5× 78 0.4× 62 2.3k
Zhongyi Hu 602 0.9× 229 0.4× 663 1.8× 50 0.2× 66 0.3× 56 2.0k
Zhe George Zhang 875 1.3× 741 1.4× 627 1.7× 49 0.2× 197 0.9× 103 3.3k
Ye Li 612 0.9× 317 0.6× 273 0.7× 281 1.1× 177 0.8× 175 3.9k
Sen Guo 387 0.6× 282 0.5× 812 2.2× 87 0.4× 211 1.0× 55 2.0k

Countries citing papers authored by Bingzi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Bingzi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingzi Jin

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

All Works

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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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