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Rising Stars
2025

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Rising Stars

D-Index
34
Citations
4081
World Ranking
878
National Ranking
284

Environmental Sciences

D-Index
40
Citations
4936
World Ranking
8176
National Ranking
751

Zhidan Wen publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Zhidan Wen sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 81 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Zhidan Wen D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Zhidan Wen sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 40 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Zhidan Wen is affiliated with the Northeast Institute of Geography and Agroecology in China. Their research focuses on environmental science and earth and planetary sciences, with specific attention to oceanography, water science and technology, global and planetary change, industrial and manufacturing engineering, and environmental chemistry.

Their work commonly addresses topics such as marine and coastal ecosystems, water quality monitoring and analysis, water quality monitoring technologies, aquatic ecosystems and phytoplankton dynamics, atmospheric and environmental gas dynamics, remote sensing in agriculture, and air quality monitoring and forecasting.

Zhidan Wen has published extensively in several scientific journals. Frequent publication venues include The Science of The Total Environment, Remote Sensing, Water Research, Journal of Environmental Management, and the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Recent publications include:

  • Composition of dissolved organic matter (DOM) in lakes responds to the trophic state and phytoplankton community succession, 2022, Water Research
  • Global divergent trends of algal blooms detected by satellite during 1982-2018, 2022, Global Change Biology
  • Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm, 2021, The Science of The Total Environment
  • Climatic versus Anthropogenic Controls of Decadal Trends (1983-2017) in Algal Blooms in Lakes and Reservoirs across China, 2021, Environmental Science & Technology
  • Quantification of lake clarity in China using Landsat OLI imagery data, 2020, Remote Sensing of Environment

Zhidan Wen has collaborated frequently with several researchers. Notable frequent co-authors include Kaishan Song, Ge Liu, Yingxin Shang, Chong Fang, and Lili Lyu.

Best Publications

  • Phthalate esters in the environment: A critical review of their occurrence, biodegradation, and removal during wastewater treatment processes.

    Da-Wen Gao;Zhi-Dan Wen

  • Occurrence and fate of phthalate esters in full-scale domestic wastewater treatment plants and their impact on receiving waters along the Songhua River in China.

    Dawen Gao;Zhe Li;Zhidan Wen;Nanqi Ren

  • Large greenhouse gases emissions from China's lakes and reservoirs.

    Siyue Li;Richard T. Bush;Isaac R. Santos;Quanfa Zhang

  • Characterization of CDOM in saline and freshwater lakes across China using spectroscopic analysis

    Kaishan Song;Yingxin Shang;Zhidan Wen;Pierre-Andre Jacinthe

  • Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm.

    Sijia Li;Kaishan Song;Shuai Wang;Ge Liu

  • Climatic versus Anthropogenic Controls of Decadal Trends (1983-2017) in Algal Blooms in Lakes and Reservoirs across China.

    Kaishan Song;Chong Fang;Chong Fang;Pierre-Andre Jacinthe;Zhidan Wen

  • Quantification of lake clarity in China using Landsat OLI imagery data

    Kaishan Song;Ge Liu;Qiang Wang;Zhidan Wen

  • Membrane fouling related to microbial community and extracellular polymeric substances at different temperatures.

    Da-Wen Gao;Zhi-Dan Wen;Bao Li;Hong Liang

  • An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters

    Ge Liu;Ge Liu;Lin Li;Kaishan Song;Yunmei Li

  • Biodegradation and kinetic analysis of phthalates by an Arthrobacter strain isolated from constructed wetland soil

    Zhi-Dan Wen;Da-Wen Gao;Wei-Min Wu;Wei-Min Wu

  • Microbial community structure characteristics associated membrane fouling in A/O-MBR system

    Da-Wen Gao;Da-Wen Gao;Zhi-Dan Wen;Bao Li;Hong Liang

  • Remote Sensing of Turbidity for Lakes in Northeast China Using Sentinel-2 Images With Machine Learning Algorithms

    Yue Ma;Kaishan Song;Zhidan Wen;Ge Liu

  • Characterization of dissolved organic matter (DOM) in an urbanized watershed using spectroscopic analysis.

    Lili Lyu;Ge Liu;Yingxin Shang;Zhidan Wen

  • Influence of environmental factors on spectral characteristics of chromophoric dissolved organic matter (CDOM) in Inner Mongolia Plateau, China

    Z. D. Wen;K. S. Song;Y. Zhao;J. Du

  • Carbon dioxide emissions from lakes and reservoirs of China: A regional estimate based on the calculated pCO2

    Zhidan Wen;Kaishan Song;Yingxin Shang;Chong Fang

  • Dissolved carbon in a large variety of lakes across five limnetic regions in China

    Kaishan Song;Zhidan Wen;Yijun Xu;Hong Yang

  • Quantifying the trophic status of lakes using total light absorption of optically active components.

    Zhidan Wen;Kaishan Song;Ge Liu;Yingxin Shang

  • Comparison of different satellite bands and vegetation indices for estimation of soil organic matter based on simulated spectral configuration

    Xiuliang Jin;Kaishan Song;Jia Du;Huanjun Liu

  • Quantification of dissolved organic carbon (DOC) storage in lakes and reservoirs of mainland China.

    Kaishan Song;Zhidan Wen;Yingxing Shang;Hong Yang

  • Evaluation of CDOM sources and their links with water quality in the lakes of Northeast China using fluorescence spectroscopy

    Ying Zhao;Kaishan Song;Zhidan Wen;Chong Fang

  • Performance of the lysozyme for promoting the waste activated sludge biodegradability

    Jun-Guo He;Xiao-Dong Xin;Wei Qiu;Jie Zhang

Frequent Co-Authors

Kaishan Song
Kaishan Song Liaocheng University
Ying Zhao
Ying Zhao Ludong University
Pierre-André Jacinthe
Pierre-André Jacinthe Indiana University – Purdue University Indianapolis
Dawen Gao
Dawen Gao Beijing University of Civil Engineering and Architecture
Lin Li
Lin Li Indiana University – Purdue University Indianapolis
Kun Shi
Kun Shi Chinese Academy of Sciences
Zongming Wang
Zongming Wang Chinese Academy of Sciences
Nanqi Ren
Nanqi Ren Harbin Institute of Technology
Wei-Min Wu
Wei-Min Wu Stanford University
Hong Yang
Hong Yang University of Reading

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