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Xin Ma

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 51 3909 3748 787 783 162 8958

Xin Ma publications per year

The chart shows the history of publications by Xin Ma between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xin Ma published across 24 years, from 2002 to 2025, averaging 11 papers a year. Output peaked at 44 publications in 2020. 42 of the 264 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2020. 2002: 1 publication 2003: 0 publications 2004: 3 publications 2005: 0 publications 2006: 3 publications 2007: 2 publications 2008: 1 publication 2009: 1 publication 2010: 2 publications 2011: 9 publications 2012: 5 publications 2013: 5 publications 2014: 4 publications 2015: 4 publications 2016: 8 publications 2017: 8 publications 2018: 18 publications 2019: 26 publications 2020: 44 publications 2021: 39 publications 2022: 24 publications 2023: 15 publications 2024: 18 publications 2025: 24 publications
2002 2025

264 publications in total across all disciplines

View publications per year as a table
Xin Ma: publications per year, 2002 to 2025
Year Publications
2002 1
2003 0
2004 3
2005 0
2006 3
2007 2
2008 1
2009 1
2010 2
2011 9
2012 5
2013 5
2014 4
2015 4
2016 8
2017 8
2018 18
2019 26
2020 44
2021 39
2022 24
2023 15
2024 18
2025 24
Total 264
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Xin Ma publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Xin Ma sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415 162
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Xin Ma D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Xin Ma sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 51 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253 51
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Xin Ma is affiliated with Southwest University of Science and Technology in China. Their research primarily spans the fields of Engineering and Decision Sciences, contributing extensively to subfields such as Management Science and Operations Research, Electrical and Electronic Engineering, Ocean Engineering, Environmental Engineering, and Economics and Econometrics.

The main topics covered in Xin Ma's work include Grey System Theory Applications, Energy Load and Power Forecasting, Environmental Impact and Sustainability, Diverse Interdisciplinary Research Innovations, Energy, Environment, Economic Growth, Reservoir Engineering and Simulation Methods, and Enhanced Oil Recovery Techniques.

Xin Ma's recent publications reflect a focus on environmental engineering, energy systems, and sustainability research. Notable papers include:

  • Hybrid decision tree-based machine learning models for short-term water quality prediction, 2020, Chemosphere
  • Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak, 2020, Applied Energy
  • Carbon reduction in commercial building operations: A provincial retrospection in China, 2021, Applied Energy
  • Carbon dioxide transport via pipelines: A systematic review, 2020, Journal of Cleaner Production
  • Historical decarbonization of global commercial building operations in the 21st century, 2022, Applied Energy

These papers cover a range of themes such as machine learning applications in water quality forecasting, decarbonization pathways in building sectors, carbon reduction strategies, and systemic reviews on CO2 transportation infrastructure.

Xin Ma's collaborations frequently involve several researchers, including Wenqing Wu, Minda Ma, Yong Wang, Hongfang Lü, and Bo Zeng. This network suggests active participation in interdisciplinary projects and knowledge exchange within related scientific areas.

The body of work is published predominantly in journals such as Energy, Applied Energy, arXiv (Cornell University), Applied Mathematical Modelling, and Engineering Applications of Artificial Intelligence. These publication venues highlight the scientist's involvement in journals focused on energy systems, environmental sustainability, applied mathematics, and engineering applications.

Best Publications

  • Hybrid decision tree-based machine learning models for short-term water quality prediction.

    Hongfang Lu;Hongfang Lu;Xin Ma

  • Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

    Guomin Huang;Guomin Huang;Lifeng Wu;Lifeng Wu;Xin Ma;Weiqiang Zhang

  • Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

    Junliang Fan;Xin Ma;Lifeng Wu;Fucang Zhang

  • The conformable fractional grey system model.

    Xin Ma;Xin Ma;Wenqing Wu;Bo Zeng;Yong Wang

  • A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

    Xin Ma;Xin Ma;Xie Mei;Xie Mei;Wenqing Wu;Xinxing Wu

  • Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

    Wenqing Wu;Wenqing Wu;Xin Ma;Xin Ma;Bo Zeng;Yong Wang

  • Carbon trading volume and price forecasting in China using multiple machine learning models

    Hongfang Lu;Hongfang Lu;Xin Ma;Kun Huang;Mohammadamin Azimi

  • Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective

    Ping Ji;Xin Ma;Gang Li

  • The novel fractional discrete multivariate grey system model and its applications

    Xin Ma;Xin Ma;Mei Xie;Mei Xie;Wenqing Wu;Bo Zeng

  • Carbon-dioxide mitigation in the residential building sector: A household scale-based assessment

    Minda Ma;Xin Ma;Weiguang Cai;Wei Cai

  • Carbon reduction in commercial building operations: A provincial retrospection in China

    Kai Li;Minda Ma;Xiwang Xiang;Wei Feng

  • Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

    Junliang Fan;Lifeng Wu;Xin Ma;Hanmi Zhou

  • Carbon dioxide transport via pipelines: A systematic review

    Hongfang Lu;Hongfang Lu;Hongfang Lu;Xin Ma;Kun Huang;Lingdi Fu

  • Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China

    Junliang Fan;Lifeng Wu;Fucang Zhang;Huanjie Cai

  • Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China

    Xin Ma;Zhibin Liu

  • Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China

    Xin Ma;Xin Ma;Zhibin Liu;Yong Wang

  • Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

    Lifeng Wu;Hanmi Zhou;Xin Ma;Junliang Fan

  • Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

    Lifeng Wu;Guomin Huang;Junliang Fan;Xin Ma

  • The kernel-based nonlinear multivariate grey model

    Xin Ma;Xin Ma;Zhi-bin Liu

  • A Strictly Predefined-Time Convergent Neural Solution to Equality- and Inequality-Constrained Time-Variant Quadratic Programming

    Weibing Li;Xin Ma;Jiawei Luo;Long Jin

  • A new-structure grey Verhulst model: Development and performance comparison

    Bo Zeng;Mingyu Tong;Xin Ma

  • Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption

    Wenqing Wu;Xin Ma;Xin Ma;Bo Zeng;Yong Wang

  • An innovative hybrid model based on outlier detection and correction algorithm and heuristic intelligent optimization algorithm for daily air quality index forecasting

    Jianzhou Wang;Pei Du;Yan Hao;Xin Ma

  • A new-structure grey Verhulst model for China’s tight gas production forecasting

    Bo Zeng;Xin Ma;Meng Zhou

  • A novel kernel regularized nonhomogeneous grey model and its applications

    Xin Ma;Yi-sheng Hu;Zhi-bin Liu

Frequent Co-Authors

Zhenyuan Jia
Zhenyuan Jia Dalian University of Technology
Ran He
Ran He Chinese Academy of Sciences
Junliang Fan
Junliang Fan Northwest A&F University
Wei Gong
Wei Gong Wuhan University
Shiming Ding
Shiming Ding Chinese Academy of Sciences
Fucang Zhang
Fucang Zhang Northwest A&F University
Zhenhua Chai
Zhenhua Chai Huazhong University of Science and Technology
Gang Wang
Gang Wang Chinese Academy of Sciences
Long Jin
Long Jin Lanzhou University
Huanjie Cai
Huanjie Cai Northwest A&F University

External Links

Personal website of Xin Ma

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Publications: 8

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