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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 37 8461 8155 2341 2169 110 4859

Hongjun Wang publications per year

The chart shows the history of publications by Hongjun Wang between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hongjun Wang published across 43 years, from 1983 to 2025, averaging 4.8 papers a year. Output peaked at 20 publications in 2020. 27 of the 205 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2020. 1983: 1 publication 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 5 publications 2005: 2 publications 2006: 4 publications 2007: 1 publication 2008: 5 publications 2009: 9 publications 2010: 9 publications 2011: 6 publications 2012: 6 publications 2013: 6 publications 2014: 9 publications 2015: 8 publications 2016: 8 publications 2017: 7 publications 2018: 9 publications 2019: 19 publications 2020: 20 publications 2021: 12 publications 2022: 16 publications 2023: 14 publications 2024: 11 publications 2025: 16 publications
1983 2025

205 publications in total across all disciplines

View publications per year as a table
Hongjun Wang: publications per year, 1983 to 2025
Year Publications
1983 1
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 0
2000 0
2001 0
2002 0
2003 1
2004 5
2005 2
2006 4
2007 1
2008 5
2009 9
2010 9
2011 6
2012 6
2013 6
2014 9
2015 8
2016 8
2017 7
2018 9
2019 19
2020 20
2021 12
2022 16
2023 14
2024 11
2025 16
Total 205
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Hongjun Wang 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 Hongjun Wang 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, 108–117 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: 110 publications — 11th percentile

11% 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
108–117 369 110
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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Hongjun Wang 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 Hongjun Wang 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, 37 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: 37 D-Index — 16th percentile

16% 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 37
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
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

Hongjun Wang is affiliated with Stevens Institute of Technology in the United States and has contributed extensively to research in engineering and materials science. Their work spans a variety of subfields, with significant engagement in biomedical engineering, biomaterials, molecular biology, materials chemistry, and electrical and electronic engineering.

The scientist's research covers several prominent topics, including:

  • 3D Printing in Biomedical Research
  • Electrospun Nanofibers in Biomedical Applications
  • Nanoplatforms for Cancer Theranostics
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Extracellular Vesicles in Disease
  • Advanced Nanomaterials in Catalysis
  • Graphene and Nanomaterials Applications

Hongjun Wang has authored numerous papers published in high-impact journals. Notable recent publications include:

  • "Microchannelled alkylated chitosan sponge to treat noncompressible hemorrhages and facilitate wound healing" (2021) in Nature Communications
  • "A Porous Au@Rh Bimetallic Core-Shell Nanostructure as an H2O2-Driven Oxygenerator to Alleviate Tumor Hypoxia for Simultaneous Bimodal Imaging and Enhanced Photodynamic Therapy" (2020) in Advanced Materials
  • "Aligned microfiber-induced macrophage polarization to guide schwann-cell-enabled peripheral nerve regeneration" (2021) in Biomaterials
  • "Gold Nanoframeworks with Mesopores for Raman-Photoacoustic Imaging and Photo-Chemo Tumor Therapy in the Second Near-Infrared Biowindow" (2020) in Advanced Functional Materials
  • "Chromate removal by electrospun PVA/PEI nanofibers: Adsorption, reduction, and effects of co-existing ions" (2020) in Chemical Engineering Journal

Publications by Hongjun Wang often appear in venues such as:

  • ACS Applied Materials & Interfaces
  • SSRN Electronic Journal
  • Biomaterials
  • International Journal of Molecular Sciences
  • Small

Their collaborative network includes frequent coauthors such as Jingyu Sun, Tsengming Chou, Beilu Zhang, Meifeng Zhu, and Wei Hu.

Best Publications

  • Functionally graded electrospun polycaprolactone and beta-tricalcium phosphate nanocomposites for tissue engineering applications.

    Cevat Erisken;Dilhan M. Kalyon;Hongjun Wang

  • A preliminary in vitro study on the fabrication and tissue engineering applications of a novel chitosan bilayer material as a scaffold of human neofetal dermal fibroblasts

    Jianbiao Ma;Hongjun Wang;Binglin He;Jiatong Chen

  • Microchannelled alkylated chitosan sponge to treat noncompressible hemorrhages and facilitate wound healing.

    Xinchen Du;Le Wu;Hongyu Yan;Zhuyan Jiang

  • In vivo engineered extracellular matrix scaffolds with instructive niches for oriented tissue regeneration.

    Meifeng Zhu;Meifeng Zhu;Meifeng Zhu;Wen Li;Xianhao Dong;Xingyu Yuan

  • In vitro and in vivo studies of electroactive reduced graphene oxide-modified nanofiber scaffolds for peripheral nerve regeneration.

    Juan Wang;Yuan Cheng;Liang Chen;Tonghe Zhu

  • Biomimetic LBL structured nanofibrous matrices assembled by chitosan/collagen for promoting wound healing

    Rong Huang;Wangzhou Li;Xiaoxing Lv;Zhanjun Lei

  • Acceleration of Osteogenic Differentiation of Preosteoblastic Cells by Chitosan Containing Nanofibrous Scaffolds

    Xiaochuan Yang;Xuening Chen;Hongjun Wang

  • Nanofiber enabled layer-by-layer approach toward three-dimensional tissue formation.

    Xiaochuan Yang;Jeckin D. Shah;Hongjun Wang

  • Engineering of Vascular Grafts With Genetically Modified Bone Marrow Mesenchymal Stem Cells on Poly (Propylene Carbonate) Graft

    Jun Zhang;Hongxu Qi;Hongjun Wang;Ping Hu

  • Biodegradable and elastomeric vascular grafts enable vascular remodeling

    Meifeng Zhu;Yifan Wu;Wen Li;Xianhao Dong

  • Osteochondral Tissue Formation Through Adipose-Derived Stromal Cell Differentiation on Biomimetic Polycaprolactone Nanofibrous Scaffolds with Graded Insulin and Beta-Glycerophosphate Concentrations

    Cevat Erisken;Dilhan M. Kalyon;Hongjun Wang;Ceren Örnek-Ballanco

  • Gold Nanoframeworks with Mesopores for Raman-Photoacoustic Imaging and Photo-Chemo Tumor Therapy in the Second Near-Infrared Biowindow.

    Jinping Wang;Jingyu Sun;Yuhao Wang;Tsengming Chou

  • The involvement of integrin β1 signaling in the migration and myofibroblastic differentiation of skin fibroblasts on anisotropic collagen-containing nanofibers.

    Chengyang Huang;Xiaoling Fu;Jie Liu;Yanmei Qi

  • Evaluation of photodynamic therapy efficiency using an in vitro three-dimensional microfluidic breast cancer tissue model

    Yamin Yang;Xiaochuan Yang;Jin Zou;Chao Jia

  • Synthetic scaffold morphology controls human dermal connective tissue formation.

    Hongjun Wang;Jeroen Pieper;Fabienne Péters;Clemens A. van Blitterswijk

  • Optimized colorimetric sensor strip for mercury(II) assay using hierarchical nanostructured conjugated polymers

    Yang Si;Xueqin Wang;Yan Li;Kun Chen

  • An experimental study on ferromagnetic nickel nanowires functionalized with antibodies for cell separation.

    Ning Gao;Hongjun Wang;Eui-Hyeok Yang

  • Microfluidic 3D bone tissue model for high-throughput evaluation of wound-healing and infection-preventing biomaterials.

    Joung-Hyun Lee;Yexin Gu;Hongjun Wang;Woo Y. Lee

  • Temperature-triggered on-demand drug release enabled by hydrogen-bonded multilayers of block copolymer micelles

    Zhichen Zhu;Ning Gao;Hongjun Wang;Svetlana A. Sukhishvili

  • Bioinspired Near-Infrared-Excited Sensing Platform for in Vitro Antioxidant Capacity Assay Based on Upconversion Nanoparticles and a Dopamine–Melanin Hybrid System

    Dong Wang;Chuan Chen;Xuebin Ke;Ning Kang

  • Machine learning metrology of cell confinement in melt electrowritten three-dimensional biomaterial substrates.

    Filippos Tourlomousis;Chao Jia;Thrasyvoulos Karydis;Andreas Mershin

  • Inkjet printed antibiotic- and calcium-eluting bioresorbable nanocomposite micropatterns for orthopedic implants

    Yexin Gu;Xuening Chen;Joung-Hyun Lee;David A. Monteiro

  • Reduced Graphene Oxide-Encapsulated Microfiber Patterns Enable Controllable Formation of Neuronal-Like Networks

    Juan Wang;Juan Wang;Haoyu Wang;Xiumei Mo;Hongjun Wang

  • Biomimetic and hierarchical nerve conduits from multifunctional nanofibers for guided peripheral nerve regeneration.

    Juan Wang;Yuan Cheng;Haoyu Wang;Yuhao Wang

  • Regulation of the osteogenesis of pre-osteoblasts by spatial arrangement of electrospun nanofibers in two- and three-dimensional environments.

    Xuening Chen;Xiaoling Fu;Jian-gang Shi;Hongjun Wang

Frequent Co-Authors

Dilhan M. Kalyon
Dilhan M. Kalyon Stevens Institute of Technology
Jun Zhang
Jun Zhang Qingdao University
Clemens van Blitterswijk
Clemens van Blitterswijk Maastricht University
Svetlana A. Sukhishvili
Svetlana A. Sukhishvili Texas A&M University
Xiumei Mo
Xiumei Mo Donghua University
Yang D. Teng
Yang D. Teng Spaulding Rehabilitation Hospital
David S. Siegel
David S. Siegel Hackensack University Medical Center
Arul Jayaraman
Arul Jayaraman Texas A&M University
Hongbing Deng
Hongbing Deng Wuhan University
Yu Han
Yu Han King Abdullah University of Science and Technology

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