D. Tang

587 total citations
32 papers, 456 citations indexed

About

D. Tang is a scholar working on Surfaces, Coatings and Films, Materials Chemistry and Structural Biology. According to data from OpenAlex, D. Tang has authored 32 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surfaces, Coatings and Films, 10 papers in Materials Chemistry and 9 papers in Structural Biology. Recurrent topics in D. Tang's work include Electron and X-Ray Spectroscopy Techniques (11 papers), Advanced Electron Microscopy Techniques and Applications (9 papers) and Advanced X-ray Imaging Techniques (6 papers). D. Tang is often cited by papers focused on Electron and X-Ray Spectroscopy Techniques (11 papers), Advanced Electron Microscopy Techniques and Applications (9 papers) and Advanced X-ray Imaging Techniques (6 papers). D. Tang collaborates with scholars based in United Kingdom, China and Netherlands. D. Tang's co-authors include J. Jansen, H.W. Zandbergen, H. Schenk, H.W. Zandbergen, Wuzong Zhou, David A. Jefferson, D. Van Dyck, Angus I. Kirkland, Bert Freitag and Erwan Sourty and has published in prestigious journals such as Nano Letters, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

D. Tang

31 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. Tang United Kingdom	11	205	167	133	86	82	32	456
Andrew Jong Netherlands	14	113 0.6×	130 0.8×	123 0.9×	124 1.4×	72 0.9×	27	478
Jacob Madsen Austria	13	386 1.9×	203 1.2×	187 1.4×	136 1.6×	45 0.5×	37	648
Yuli Vladimirsky United States	13	85 0.4×	115 0.7×	107 0.8×	310 3.6×	33 0.4×	57	645
Hiroyuki Shinada Japan	11	80 0.4×	129 0.8×	138 1.0×	164 1.9×	17 0.2×	46	397
Martin Otto Canada	14	309 1.5×	89 0.5×	73 0.5×	357 4.2×	67 0.8×	28	758
T. Mulvey United Kingdom	12	69 0.3×	123 0.7×	198 1.5×	150 1.7×	20 0.2×	49	457
R. Sergo Italy	12	166 0.8×	45 0.3×	81 0.6×	211 2.5×	49 0.6×	46	594
C.G.H. Walker United Kingdom	12	190 0.9×	71 0.4×	293 2.2×	326 3.8×	14 0.2×	42	625
Conrad Escher Switzerland	14	161 0.8×	207 1.2×	126 0.9×	123 1.4×	15 0.2×	21	454
Weina Peng United States	14	323 1.6×	62 0.4×	37 0.3×	471 5.5×	12 0.1×	24	815

Countries citing papers authored by D. Tang

Since Specialization

Citations

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

Fields of papers citing papers by D. Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tang, D., et al.. (2025). A global object-oriented dynamic network for low-altitude remote sensing object detection. Scientific Reports. 15(1). 19071–19071. 1 indexed citations

Tang, D., et al.. (2024). LCFF-Net: A lightweight cross-scale feature fusion network for tiny target detection in UAV aerial imagery. PLoS ONE. 19(12). e0315267–e0315267. 3 indexed citations

Fleischauer, Michael D., et al.. (2019). Calibration process for rechargeable cell and battery test systems. Review of Scientific Instruments. 90(4). 43902–43902. 2 indexed citations

Khairunizam, Wan, et al.. (2015). Restoring defect structures in 3C-SiC/Si (001) from spherical aberration-corrected high-resolution transmission electron microscope images by means of deconvolution processing. Micron. 71. 22–31. 5 indexed citations

Loos, J., et al.. (2009). Electron Tomography on Micrometer-Thick Specimens with Nanometer Resolution. Nano Letters. 9(4). 1704–1708. 51 indexed citations

Freitag, Bert, et al.. (2008). Tomographic Imaging Ultra-Thick Specimens with Nanometer Resolution. Microscopy and Microanalysis. 14(S2). 1056–1057.

Shafer, Martin M., et al.. (2007). Speciation, Sources and Bioavailability of Copper and Zinc in DoD-Impacted Harbors and Estuaries. Defense Technical Information Center (DTIC). 1 indexed citations

Lin, Feng, Fu‐Rong Chen, Qing Chen, D. Tang, & Lian‐Mao Peng. (2006). The wrap-around problem and optimal padding in the exit wave reconstruction using HRTEM images. Journal of Electron Microscopy. 55(4). 191–200. 2 indexed citations

Wang, Hang, et al.. (2002). A study on the position of boron atoms in (Y_0.6Ca_0.4)(SrBa)(Cu_2.5B_0.5)O_7−δ. Acta Crystallographica Section A Foundations of Crystallography. 58(5). 494–501. 8 indexed citations

10.

Tang, D., et al.. (1995). Use of the quasi‐classical approximation for projected potential calculation in HREM image simulation. Journal of Microscopy. 179(2). 191–200. 4 indexed citations

11.

Tang, D. & Wuzong Zhou. (1995). An electron diffraction study of the type II Bi2−xNbxO3+x solid solution. Journal of Solid State Chemistry. 119(2). 311–318. 27 indexed citations

12.

Tang, D., J. Jansen, H.W. Zandbergen, & H. Schenk. (1995). The estimation of crystal thickness and the restoration of structure-factor modulus from electron diffraction: a kinematical approach. Acta Crystallographica Section A Foundations of Crystallography. 51(2). 188–197. 6 indexed citations

13.

Tang, D., Angus I. Kirkland, & David A. Jefferson. (1994). Optimisation of high-resolution image simulations II. Image selection in reciprocal space. Ultramicroscopy. 53(2). 137–146. 6 indexed citations

14.

Rauch, Paul E., F. J. DiSalvo, Wuzong Zhou, D. Tang, & P.P. Edwards. (1992). Synthesis and structure of W3S4Cl4. Journal of Alloys and Compounds. 182(2). 253–264. 2 indexed citations

15.

Kirkland, Angus I., David A. Jefferson, D. Tang, & Peter P. Edwards. (1991). High-resolution image simulations of small metal particles. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 434(1891). 279–296. 21 indexed citations

16.

Tang, D., Rik Brydson, David A. Jefferson, & John Meurig Thomas. (1989). The effects of absorption and inelastic scattering of high-resolution electron microscopic images of YBa₂Cu₃O_7-x. Journal of Physics Condensed Matter. 1(9). 1561–1570. 6 indexed citations

17.

Tang, D., David A. Jefferson, Ingrid J. Pickering, et al.. (1989). Identification of lithium atoms in solid oxides: A high-resolution electron microscopic study of LiMn2O4. Journal of Solid State Chemistry. 79(1). 112–118. 3 indexed citations

18.

Tang, D., et al.. (1988). A method of image restoration for pseudo-weak-phase objects. Ultramicroscopy. 25(1). 61–67. 15 indexed citations

19.

Tang, D., et al.. (1986). Pseudo-weak-phase-object approximation in high-resolution electron microscopy. II. Feasibility of directly observing Li⁺. Acta Crystallographica Section B Structural Science. 42(4). 340–342. 19 indexed citations

20.

Snyder, Wesley E. & D. Tang. (1980). Finding the Extrema of a Region. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-2(3). 266–269. 18 indexed citations

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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