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Huanxin Chen

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 46 5065 4874 983 977 105 10991

Huanxin Chen publications per year

The chart shows the history of publications by Huanxin Chen between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Huanxin Chen published across 24 years, from 2002 to 2025, averaging 5 papers a year. Output peaked at 20 publications in 2018. 9 of the 119 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2018. 2002: 2 publications 2003: 3 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 1 publication 2009: 2 publications 2010: 1 publication 2011: 2 publications 2012: 2 publications 2013: 0 publications 2014: 0 publications 2015: 1 publication 2016: 6 publications 2017: 15 publications 2018: 20 publications 2019: 20 publications 2020: 15 publications 2021: 9 publications 2022: 3 publications 2023: 8 publications 2024: 3 publications 2025: 6 publications
2002 2025

119 publications in total across all disciplines

View publications per year as a table
Huanxin Chen: publications per year, 2002 to 2025
Year Publications
2002 2
2003 3
2004 0
2005 0
2006 0
2007 0
2008 1
2009 2
2010 1
2011 2
2012 2
2013 0
2014 0
2015 1
2016 6
2017 15
2018 20
2019 20
2020 15
2021 9
2022 3
2023 8
2024 3
2025 6
Total 119
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Huanxin Chen 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 Huanxin Chen 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, 98–107 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: 105 publications — 10th percentile

10% 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
98–107 283 105
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
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
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Huanxin Chen 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 Huanxin Chen 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, 46 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: 46 D-Index — 49th percentile

49% 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 46
47 306
48 271
49 246
50 210
51 253
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
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Overview

Huanxin Chen is affiliated with Huazhong University of Science and Technology in China, engaging in interdisciplinary research across medicine, biochemistry, genetics, molecular biology, and engineering. Their work spans multiple subfields including molecular biology, cardiology and cardiovascular medicine, epidemiology, surgery, and cellular and molecular neuroscience.

The scientist's research covers a variety of topics such as congenital heart defects research, congenital heart disease studies, refrigeration and air conditioning technologies, building energy and comfort optimization, atrial fibrillation management and outcomes, neuroscience and neuropharmacology research, and RNA modifications and cancer. This breadth reflects a cross-disciplinary approach that links biomedical sciences with engineering and environmental concerns.

Among recent publications, several papers highlight the diversity of their research:

  • Physicochemical properties and digestion mechanism of starch-linoleic acid complex induced by multi-frequency power ultrasound (2021) in Food Chemistry
  • Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition (2020) in Energy and Buildings
  • Insights into ultrasonic treatment on the properties of pullulan/oat protein/nisin composite film: mechanical, structural and physicochemical properties (2022) in Food Chemistry
  • The co-benefits of clean air and low-carbon policies on heavy metal emission reductions from coal-fired power plants in China (2022) in Resources Conservation and Recycling
  • Effect of early life stress on anxiety and depressive behaviors in adolescent mice (2020) in Brain and Behavior

Huanxin Chen collaborates frequently with several researchers, notably Guo-Wei He, Qin Yang, Hai-Tao Hou, Hongmei Xue, and Wentao Sun. These collaborations likely contribute to the interdisciplinary nature of the scientist's projects and publications.

The publication record shows repeated contributions to journals such as The FASEB Journal, Energy and Buildings, Journal of Building Engineering, Biomolecules, and the Asian Journal of Psychiatry. The range of these venues reflects a focus on biomedical sciences, environmental engineering, and applied energy research.

Best Publications

  • The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types.

    Tingting Chen;Xu Chen;Sisi Zhang;Junwei Zhu

  • Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

    Tanveer Ahmad;Tanveer Ahmad;Dongdong Zhang;Chao Huang;Chao Huang;Hongcai Zhang

  • GSA: Genome Sequence Archive

    Yanqing Wang;Fuhai Song;Junwei Zhu;Sisi Zhang

  • A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

    Tanveer Ahmad;Huanxin Chen;Yabin Guo;Jiangyu Wang

  • Study on deep reinforcement learning techniques for building energy consumption forecasting

    Tao Liu;Zehan Tan;Chengliang Xu;Huanxin Chen

  • Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

    Unknown

  • Machine learning-based thermal response time ahead energy demand prediction for building heating systems

    Yabin Guo;Jiangyu Wang;Huanxin Chen;Guannan Li

  • Database Resources of the BIG Data Center in 2018

    Xingjian Xu;Lili Hao;Junwei Zhu

  • A review on machine learning forecasting growth trends and their real-time applications in different energy systems

    Tanveer Ahmad;Tanveer Ahmad;Huanxin Chen

  • Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving

    Yabin Guo;Zehan Tan;Huanxin Chen;Guannan Li

  • Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

    Tanveer Ahmad;Huanxin Chen

  • Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

    Tanveer Ahmad;Huanxin Chen

  • Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method

    Chengliang Xu;Huanxin Chen;Jiangyu Wang;Yabin Guo

  • Investigation of a novel thermoelectric radiant air-conditioning system

    Limei Shen;Limei Shen;F u Xiao;Huanxin Chen;Shengwei Wang

  • Review of various modeling techniques for the detection of electricity theft in smart grid environment

    Tanveer Ahmad;Huanxin Chen;Jiangyu Wang;Yabin Guo

  • An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm

    Guannan Li;Yunpeng Hu;Huanxin Chen;Limei Shen

  • Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

    Tanveer Ahmad;Huanxin Chen;Ronggeng Huang;Guo Yabin

  • Environmental sustainability of wind power: An emergy analysis of a Chinese wind farm

    Q. Yang;G.Q. Chen;G.Q. Chen;S. Liao;Y.H. Zhao

  • Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions

    Guannan Li;Yunpeng Hu;Huanxin Chen;Haorong Li

  • A novel efficient SVM-based fault diagnosis method for multi-split air conditioning system's refrigerant charge fault amount

    Kaizheng Sun;Guannan Li;Huanxin Chen;Jiangyan Liu

  • Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment

    Tanveer Ahmad;Huanxin Chen

  • Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method

    Yunpeng Hu;Huanxin Chen;Junlong Xie;Xiaoshuang Yang

  • The optimization design and parametric study of thermoelectric radiant cooling and heating panel

    Limei Shen;Zhilong Tu;Qiang Hu;Cheng Tao

  • A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction

    Tao Liu;Chengliang Xu;Yabin Guo;Huanxin Chen

  • A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method

    Yunpeng Hu;Huanxin Chen;Guannan Li;Haorong Li

  • Numerical and experimental analysis of transient supercooling effect of voltage pulse on thermoelectric element

    L. M. Shen;L. M. Shen;Fu Xiao;H. X. Chen;Shengwei Wang

Frequent Co-Authors

Fu Xiao
Fu Xiao Hong Kong Polytechnic University
Shengwei Wang
Shengwei Wang Hong Kong Polytechnic University
Yonghua Song
Yonghua Song University of Macau
Yongjun Sun
Yongjun Sun City University of Hong Kong

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Best Scientists Citing Huanxin Chen

Yang Zhao

Yang Zhao

Beijing Institute of Technology

Publications: 15

Jae-Weon Jeong

Jae-Weon Jeong

Hanyang University

Publications: 10

Fu Xiao

Fu Xiao

Hong Kong Polytechnic University

Publications: 9

Xiao-Dong Wang

Xiao-Dong Wang

North China Electric Power University

Publications: 8

Khairul Habib

Khairul Habib

Universiti Teknologi Petronas

Publications: 7

Wenjian Cai

Wenjian Cai

Nanyang Technological University

Publications: 7

Yongqiang Luo

Yongqiang Luo

Huazhong University of Science and Technology

Publications: 7

Yongjun Sun

Yongjun Sun

City University of Hong Kong

Publications: 7

Nadeem Javaid

Nadeem Javaid

National Yunlin University of Science and Technology

Publications: 7

Jianlin Yu

Jianlin Yu

Xi'an Jiaotong University

Publications: 7

Bidyut Baran Saha

Bidyut Baran Saha

Kyushu University

Publications: 6

Viviana Cocco Mariani

Viviana Cocco Mariani

Pontifícia Universidade Católica do Paraná

Publications: 6

Leandro dos Santos Coelho

Leandro dos Santos Coelho

Federal University of Paraná

Publications: 6

Ke Yan

Ke Yan

Alibaba Group (China)

Publications: 6

Radu Zmeureanu

Radu Zmeureanu

Concordia University

Publications: 5

Fu-Yun Zhao

Fu-Yun Zhao

Wuhan University

Publications: 5

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