Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

China Coal Technology and Engineering Group Corp (China)

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Historical profile. Data snapshot: 2026-11-04. This profile is outside the current selection; the figures and research below are retained from that snapshot. Browse the directory for other profiles.

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Papers in the tracked journals with an author at China Coal Technology and Engineering Group Corp (China): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at China Coal Technology and Engineering Group Corp (China) took part in 20 papers in the tracked journals, most of them in AI (13), operations research (4) and economics (3).
  • 5 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were China Coal Research Institute (China) (4), China University of Mining and Technology (4) and CCTEG Xi'an Research Institute (China) (2).
  • The journals publishing most of them were Expert Systems with Applications (6), Knowledge-Based Systems (2) and Pattern Recognition (1).
  • The most-cited of them is “Convolutional neural network-based spatiotemporal prediction for deformation behavior of arch dams” (Expert Systems with Applications, 2023), with 56 citations.
  • Since 2023, papers in the tracked journals cited 11 of its papers 33 times; 100% of those links came from papers with a university author and 3% from its own papers.
  • Its own papers since 2023 cite archived papers 95 times, 7% of them papers with a company author.
  • Across everything OpenAlex indexes, China Coal Technology and Engineering Group Corp (China) has 4,845 works with 58,271 citations (h-index 81).
  • The tracked journals hold 14 of its 3,230 works in OpenAlex from 2017 to 2025 (0.4%).
  • Its main research topics in OpenAlex are Geomechanics and Mining Engineering (1,440), Geoscience and Mining Technology (1,362) and Coal Properties and Utilization (857).

Papers per year#

2017: 0 papers2018: 1 paper2019: 0 papers2020: 2 papers2021: 2 papers2022: 0 papers2023: 2 papers2024: 2 papers2025: 5 papers2026 (so far): 6 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0001002145
Operations Research0101100001
Economics0000100110
All categories0102202256

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1China Coal Research Institute (China)4
2China University of Mining and Technology4
3CCTEG Xi'an Research Institute (China)2
4Chongqing University2
5Xi'an Jiaotong University2
6Xi'an University of Science and Technology2
7Beijing Normal University1
8Beijing University of Chemical Technology1
9Capital University of Economics and Business1
Countries with the most papers, since 2023
#CountryPapers
1China15
2Finland1
3United Kingdom1
4Italy1
Keywords with the most papers, since 2023
#KeywordPapers
1BP neural network1
2GNSS signal interference1
3GRU1
4Kalman filter1
5LED lighting1
6Mamdani fuzzy inference1
7Prophet model1
8RGB-D camera1
9UAV LiDAR1
10Wenchuan earthquake1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1561.4Convolutional neural network-based spatiotemporal prediction for deformation behavior of arch damsExpert Systems with Applications2023-06-27Jianwen Pan, Wenju Liu, Changwei Liu et al.
2510.7Real estate risk measurement and early warning based on PSO-SVMSocio-Economic Planning Sciences2020-12-18Wenwen Zhou, Mengyao Chen, Zaoli Yang et al.
3360.5MobileGCN applied to low-dimensional node feature learningPattern Recognition2020-12-16Wei Dong, Junsheng Wu, Zongwen Bai et al.
4210.3Multiplex cross-shareholding relations in the global oil & gas industry chain based on multilayer network modelingEnergy Economics2021-01-27Huajiao Li, Huijun Ren, Haizhong An et al.
5170.2Mitigating supply risk: an approach with quantity flexibility procurementAnnals of Operations Research2018-05-10Bo He, Yange Yang
6150.9Can government supervision ensure compliance by photovoltaic enterprises? An evolutionary game analysisEnergy Policy2025-06-19Na Li, Tao Lv, Yu Qin Guo et al.
7130.3Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy spaceExpert Systems with Applications2023-09-28Sencai Ma, Gang Cheng, Yong Li et al.
8130.8Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attentionPattern Recognition2025-06-23Jiahao Lyu, Minghua Zhao, Jing Ling Hu et al.
990.4Shared responsibility for carbon emission reduction in worldwide “steel- electric vehicle” trade within a sustainable industrial chain perspectiveEcological Economics2024-09-23Yanxin Liu, Huajiao Li, Huijun Ren et al.
1070.1Planning for time-varying volunteer firefighter systems under probabilistic service disruptionsTransportation Research Part E Logistics and Transportation Review2021-09-13Han Liu, Cheng Hua, Chao Lei

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Chengdu University of TechnologyUniversityChina2
2Xi'an University of TechnologyUniversityChina2
3Nanjing University of Aeronautics and AstronauticsUniversityChina2
4Shihezi UniversityUniversityChina1
5The University of Texas of the Permian BasinUniversityUnited States1
6Qinghai UniversityUniversityChina1
7Tongji UniversityUniversityChina1
8National Research University Higher School of EconomicsUniversityRussia1
9Texas Tech UniversityUniversityUnited States1
10Beijing Institute of TechnologyUniversityChina1

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Chinese Academy of SciencesGovernmentChina6
2Xidian UniversityUniversityChina5
3National University of SingaporeUniversitySingapore5
4Peking UniversityUniversityChina5
5Beijing Jiaotong UniversityUniversityChina5
6University of Technology SydneyUniversityAustralia3
7Tianjin UniversityUniversityChina3
8Shanghai Jiao Tong UniversityUniversityChina3
9China University of Geosciences (Beijing)UniversityChina3
10ETH ZurichUniversitySwitzerland3

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

China Coal Technology and Engineering Group Corp (China) in OpenAlex
ItemValue
TypeCompany
LocationBeijing, China
Also known asCCTEG, 中国煤炭科工集团有限公司
Units listed in OpenAlex2
Works in OpenAlex4,845
Citations58,271
h-index81
i10-index1,535
2-year mean citedness2.81
Websitewww.ccteg.cn
RORror.org/045d9gj14
OpenAlexopenalex.org/I4210151703
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Geomechanics and Mining EngineeringEngineering1,440
2Geoscience and Mining TechnologyEngineering1,362
3Coal Properties and UtilizationEngineering857
4Rock Mechanics and ModelingEngineering709
5Mining and Industrial ProcessesAgricultural and Biological Sciences443
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)6067,19561.0%
20257717,57950.6%
20245655,44820.4%
20235163,80220.4%
20223862,73900.0%
20214421,67720.5%
20202671,03420.7%
201915365100.0%
20188140911.2%
20174920000.0%

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). China Coal Technology and Engineering Group Corp (China). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/companies/china-coal-technology-and-engineering-group-corp-china

@misc{scholar4ai-companies-china-coal-technology-and-engineering-group-corp-china,
  author = {{Scholar4AI}},
  title = {China Coal Technology and Engineering Group Corp (China)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/china-coal-technology-and-engineering-group-corp-china}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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